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How researchers are using the IDI

This page provides information on how researchers are using the Integrated Data Infrastructure (IDI).

How integrated data helps researchers

Researchers use integrated data to gain more insight into areas that will improve the social and economic outcomes of New Zealanders. The IDI and the Longitudinal Business Database (LBD) are used to answer research, policy, and evaluation questions across many subject areas. The research is used to better inform decision-makers to help solve complex issues that affect us all, such as crime and vulnerable children.

See Better data, better lives for a series of short videos about the value of integrated data. Here is the latest video, ‘Better data, better lives: ‘Better data, better lives: Improving outcomes for young people at risk’.

Video 2:36 minutes

Other examples of how researchers have used integrated data include:

  • Careers NZ's Compare study options helps young people make better decisions about where their study choices can lead them. The Ministry of Education created this tool by using combined student loan, tax, and education data. 
  • The value of safe data sharing is a video that shows how the Ministry of Education has used integrated data to identify the pathways of groups of students through the education system and beyond.

Using data to evaluate programmes and services

IDI data can be used to evaluate the effectiveness of programmes and services. Data can be used to see what impact the service is having on clients, improve service delivery, and plan for the future. If you’re a service provider looking to use IDI data to evaluate your services, or you’re interested in improving the data you collect, see Superu’s short user guide, Enhancing your administrative data when evaluating programmes or services, for guidance and what to expect. 

Research projects

Select a link for a list of projects by topic:

Benefits and social services

Pilot partnership project: Otago youth not in employment, education, or training (NEET)

NEET youth are young people aged 15–24 years who are not in employment, education, or training. Stats NZ worked collaboratively with Methodist Mission Southern (MMS) and the Ministry for Women to profile the characteristics and locality of NEET youth, with a particular focus on the Otago region. This project used integrated data to profile the NEET population in MMS’s operating area by indicators of vulnerability at relatively small geographical areas. This information will help MMS, and other social service providers, tailor and target their services to young people more effectively and improve outcomes for young people at risk.

Related links:

Stats NZ, Methodist Mission Southern, and the Ministry for Women
Contact: philip.walker@stats.govt.nz

MAA2016-58 Evidence-based Funding Allocation Modelling

Data sourced from the IDI will be used to support decision making and demand modelling. The Ministry of Social Development is seeking quality data to support an evidence-based approach to the allocation of its funding, as a part of the Community Investment Strategy. Data from the IDI will enable us to better understand where our services are needed.

Melissa Cross, Peter McAulay, Kylie Grigg, John Toon, Melodie Gribben, James Stonehouse, Renee Mills, Lisa Kennerley
Ministry of Social Development
Contact: lisa.kennerley020@msd.govt.nz

MAA2016-56 Investigating Income Mobility in New Zealand

The anticipated outcomes are a more in depth understanding of income mobility which previously could not incorporate the personal and demographic information, particularly household composition, in past research. Researchers contribution is to provide a thorough understanding of income mobility by being able to control for a greater number of variables.
The ability of this project’s outcomes to contribute to highly topical public debate about inequality, and as in input into key economic and social policy discussions, should render it a good candidate for NZIER’s ‘public good’ support.

Killian Destremau
Contact: derek.gill@nzier.org.nz

MAA2016-40 Quantifying the size and characteristics of the transient population in New Zealand

The Social Policy Evaluation and Research Unit (SuPERU) has commissioned the New Zealand Work Research Institute (NZWRI) at AUT to carry out new research to answer the following two questions:

a) What is the scale of transience in New Zealand?
b) What are the characteristics of transient populations in New Zealand, and ‘vulnerable’ transient populations in New Zealand in particular?

The goal of this research is to help inform policy thinking and decision-making about the design and improvement of services to meet the needs of the government’s most vulnerable customers. The planned outcomes include a report identifying and discussing the feasibility of using existing government agency administrative datasets, including the Statistics New Zealand IDI, to quantify the experience of transience in the New Zealand population, and in particular vulnerable transience. This report will include recommendations and project plan for undertaking an analysis of existing administrative data to answer the questions. The second phase of this study is to then utilise these datasets to quantify the scale of transience in New Zealand and then discussing the results in the context of the published New Zealand and international literature.

Gail Pacheco, Chao Li, Kabir Dasgupta and Nan Jiang
Contact: gail.pacheco@aut.ac.nz

MAA2016-33 Services in Schools Impact Evaluation Work Programme

The Ministry for Vulnerable Children Oranga Tamariki funds the following services in schools:

  • school-based community social work services (Social Workers in Schools (SWiS) and Multi Agency Support Services in Secondary schools (MASSiSS))
  • Youth Workers in Secondary Schools (YWiSS)
  • support for programmes that provide food and other resources in schools (including the KickStart breakfast programme and KidsCan).

This impact evaluation work programme is intended to build the evidence base on the impact of these services. The work programme initially includes a quasi-experimental impact evaluation of the expansion of SWiS in 2012-13 and an examination of the association between uptake of KickStart breakfast programme and outcomes for students.  Other studies may proceed subject to robust impact evaluation designs being feasible.

Moira Wilson
Ministry of Social Development
Contact: moira.wilson001@msd.govt.nz

Pete McMillen
Ministry for Vulnerable Children Oranga Tamariki
Contact: pete.mcmillen@mvcot.govt.nz

MAA2016-32 Measuring the impacts of potential social policy

Researchers currently have excellent data on the benefit population (particularly main beneficiaries) however there are substantial gaps in our knowledge particularly around clients who only receive supplementary benefits, New Zealand Superannuation, or are not currently receiving a benefit.

Accessing the IDI data to better inform our understanding and fill these gaps in our knowledge is the main aim, which will in turn allow researchers to better measure the impact of potential social policy.

The initial focus of this research will be analysing the impact of immigration policy (specifically temporary migrant visas) on the labour market, particularly looking at the impact on beneficiaries gaining employment.

Ainsley Smith, Lawrence Ng and Keith McLeod
Ministry of Social Development and Ministry of Business, Innovation and Employment
Contact: ainsley.smith064@msd.govt.nz

MAA2016-18 Adding colour to the investment approach

The work and income investment approach has focused on the lives of New Zealanders who have received main benefits, with the emphasis on their levels of dependence on government benefits and characteristics that make them vulnerable to being dependent on the government for support. Additional information from the IDI will provide further understanding of the lives of these people, and offer insights into factors that indicate resilience, and others that indicate potential for long term dependency.

Craig Davis and Jeffrey Azzato
Ministry of Social Development
Contact: craig.davis036@msd.govt.nz

MAA2016-15 Supporting the Social Investment Unit to understand the social, economic and fiscal impact of social services on individuals

Social investment is about improving the lives of New Zealanders by applying rigorous and evidence-based investment practices to social services. It means using information and technology to identify those people for whom additional early investment will improve long term outcomes, better understanding their needs and what works for them, and then adjusting services accordingly. What is learnt through this process informs the next set of investment decisions.

Basically, the aim of the research is to investigate both the impact of interventions/services on the clients and their quality of life etc. and to evaluate the cost of these services in a ‘return of investment’ analysis.

Craig Wright, Conrad MacCormick and Zahra Cassin
Social Investment Unit
Contact: conrad.maccormick@ssc.govt.nz 

MAA2016-02 Off-benefit transitions: where do people go?

The research will seek to answer the following questions:

  • What type of transitions off benefits occur?
  • What are the characteristics of the individuals associated with the different types of transitions?
  • Have transitions changed over time?

Related links:

Jason Timmins, Laura Dixie and Ben Locke
Contact: jason.timmins@superu.govt.nz

MAA2015-39 Impact of limited services volunteers (LSV) programme on participant’s outcomes

This research proposal is a programme of evaluation of a motivational training programme run by the NZ Defence Force. The research project will be looking at estimating the impact of the programme on the participant's outcomes. The researchers will look at employment, earnings, justice and corrections outcomes.

Marc de Boer and Bryan Ku
Ministry of Social Development
Contact: marc.deboer001@msd.govt.nz 

MAA2015-27 IDI-based micro-simulation modelling of the New Zealand tax and welfare system

The proposed study will investigate using IDI for a micro-simulation model of the tax and welfare systems. Presently, MSD, IRD, and Treasury each use different databases for their specific needs, based on what is available to them. Using IDI allows for multiple datasets to be used in concert, facilitating using a shared model across the agencies. This model should have greater depth and breadth than the individual models, improving the evidence-based advice each agency provides.

Related links:

Evan Thompson, Conrad MacCormick, Phil McCaffrey, Josh Teng, Sean Comber, Brett Stawinski, Emily Irwin, Sarah Crichton, Sylvia Dixon, Christopher Ball, and Penny Mok
Ministry of Social Development, IRD, and The Treasury
Contact: christopher.ball@treasury.govt.nz

MAA2014-11 Investing in better outcomes

The over-arching objective of the proposed research is to increase the effectiveness of MSD policies and interventions to improve the outcomes of New Zealanders.

Related links:

David Rea, Marc De Boer, Jared Forbes, Debra Small, Moira Wilson, Phil Spier, and Michelle Bly
Ministry of Social Development
Contact: marc.deboer001@msd.govt.nz

MAA2013-16 Citizen pathways through human services

This project explores the pathways and transitions that people make over their lifetime and includes descriptive, predictive and evaluative analyses. Current work (July 2017) includes:

  • The impact of Social Housing on outcomes
  • The impact of 'Transition from Care to Independence' programmes on outcomes
  • Information on the characteristics of children and youth by location

 Related links:

Sarah Crichton
New Zealand Treasury
Contact: sarah.crichton@treasury.govt.nz 

Back to list

Business and employment

MAA2017-48 Drought and flood risks for the agricultural sector in New Zealand

This project intends to use LBD data to investigate drought and flood risks on farming productivity and profits in New Zealand. It also will develop quantifications of the projected impacts of future climate change on the agricultural sector, via changes in the frequency and intensity of floods and storms.

Farnaz Pourzand
Victoria University of Wellington
Contact: farnaz.pourzand@vuw.ac.nz

MAA2017-42 Women in trades

This work will establish a baseline that describes women’s participation in a variety of trade roles. This work will contribute to a wider project, being led by BCITO, that aims to increase the participation of women in trade roles. It is envisaged that measures of participation will be tracked over time to monitor the impact of these interventions.

Reuben Cairns-Morrison, Hannah Binnie, Adam Barker
Ministry of Business, Innovation and Employment
Contact: john.laurenson@mbie.govt.nz

MAA2017-39 Gender and diversity knowledge base

The Ministry is refining our understanding of who is precarious in the labour market and at risk of long-term low income. In 2016/17 we partnered with Stats NZ and Southern Methodist Mission to produce descriptive analysis of young people not in employment, education, and training in 2015 (mostly-NEETs). The Ministry’s particular interest was NEET mothers and young Māori and Pasifika. Our initial work showed that young mothers have (expected) higher mostly-NEET rates than their peers, but our focus was to establish to what extent further education and, ultimately, sustainable work, was within the mother’s reach.

We use indicators including: children, education, previous work experience, driver licence acquisition, and deprivation index.

In this study we want to take the work further and:

  • extend the cohort to a wider window to better understand labour market precariousness (beyond 15–24s in 2015 to include 2016)
  • consider and test conditions of labour market precariousness
  • consider mothers by age of youngest child
  • produce supplementary tables broken down by ethnicity and geography
  • model the conditions for good or poor labour market engagement
  • provide breakdowns including: geography, women, parents, Māori, Pasifika

These insights will inform initiatives at government and community levels, including regional growth.

Deb Potter and Roger Macky
Ministry for Women
Contact: deb.potter@women.govt.nz

MAA2017-21 Managerial quality and firm productivity: Evidence from New Zealand longitudinal microdata

The impact of managerial quality on firm productivity has been the subject of academia and policy making for several decades, and despite extensive research in this area, evidence for New Zealand (NZ) is sparse. Much of the research on the governance role of managerial quality on firm productivity is typically derived from studies on publicly listed firms in the United States (US) and the United Kingdom (UK). Unlike the US and the UK, NZ has a smaller market and comprises mainly small and medium size enterprises. Hence, firms in NZ are likely to perform differently and thus the impacts in which management can have on production are different. NZ also presents an interesting case to study because, despite the quality of its institutions, its productivity is underperforming relative to other advanced OECD economies (Barnes, Eris, Dougherty, Briard, & Bouis, 2013). Thus, by investigating the impact of managerial quality on firm productivity in NZ using longitudinal microdata this study will help to: (i) explain the source(s) of the productivity gap between NZ’s laggard firms and those firms that operate at the national and global productivity frontier (Conway, Meehan, & Zheng, 2015); and (ii) provide insights as to ‘why seemingly non-rival technologies do not diffuse to NZ firms to the same extent as they do amongst the frontier firms (Andrews, Criscuolo, & Gal, 2015). Understanding this will help us to better explain the persistent productivity gap across firms and countries, and thus contribute to the longstanding debate as to why convergence in per capita GDP across countries as predicted by the conventional theory of the firm has not taken place (Baumol, 1986; DeLong, 1988).

Sodany Tong
Ministry of Business, Innovation and Employment
Contact: sodany.tong@mbie.govt.nz

MAA2017-07 Labour market outcomes of te reo speakers

Broadly, we want to assess the differences in labour market outcomes for two groups of people: Te Reo speakers and non Te Reo speakers. Are Te Reo sectors more likely to be employed, in what industries and how much are they earning compared to non te Reo speakers?

Kelvin Lange and Konrad Hurren
Te Puni Kōkiri
Contact: langk@tpk.govt.nz

MAA2017-06 The impact of higher minimum wages in New Zealand

NZ provides a useful case study for empirically investigating minimum wage outcomes given its long history of enforceable minimum wages, minimum wage reforms, and the substantial variation in a key explanatory variable. Furthermore, inconsistent findings from existing NZ empirical literature and the availability of administrative data through the Integrated Data Infrastructure presents an opportunity to reassess employment effects of minimum wage increases, by combining survey and administrative data. This will also allow a greater range of outcomes (beyond employment effects) to be analysed, something past NZ empirical literature have struggled with due to the constraints imposed by survey data.

Gail Pacheco, Tim Maloney, De Wet van den Westhuizen
Ministry of Business, Innovation and Employment
Contact: gail.pacheco@aut.ac.nz

MAA2016-66 Childbearing and labour market outcomes

This project aims to better understand gender differences in labour market outcomes with respect to the role of childbearing. It will start by documenting how the labour market outcomes of men and women evolve as they have children and their children age. It will delve into some of the mechanisms behind these changes, for example by investigating how various policies have affected the impact of childbearing on labour market outcomes.
It will improve our understanding of how childbearing contributes to the gender pay gap, and ways in which policy might mitigate this.

Isabelle Sin, Gail Pacheco, Sean Molloy, Chao Li
Motu Economic and Public Policy Research
Contact: isabelle.sin@motu.org.nz

MAA2016-55 Entrepreneurship and job creation

Beyond the creation of the multi-purpose dataset, researchers will address two research questions:

  • What characteristics are associated with entrepreneurship (starting a self-employed business); and which sorts of entrepreneurs are more successful. Again this work will have a particular focus on ethnicity (Maori/Pasifika/migrant), and will also consider other worker characteristics (age, sex, skill, etc.), prior job characteristics (earnings, industry, etc), business industry and location. 
  • Understanding more about the transition from self-employed to employer may highlight blockages in the job creation process which may be amenable to policy – eg, small business owner training, regulatory burden, etc. This project represents a first step towards understanding what those blockages might be, and which sorts of entrepreneurs may be most affected.

Richard Fabling, Lynda Sanderson and Corey Allan
Ministry of Business Innovation and Employment
Contact: richard.fabling@xtra.co.nz

MAA2016-50 Longer term labour market outcomes of ACC clients post rehabilitation

This research looks at the longer term labour market outcomes for a group of seriously injured ACC clients post rehabilitation in terms of employment and income. The project will provide a strong evidence base for policy thinking to support people who were injured to achieve better, and more sustainably outcomes.

Chris Barnett and Jean-Christopher Somers
Ministry of Business, Innovation and Employment
Contact: chris.barnett@mbie.govt.nz

MAA2016-37 The Effect of 20 Free Hours of Early Childhood Education (ECE) on Labour Market Outcomes

New Zealand introduced 20 hours of free early childhood education (ECE) for all three and four year old children in July 2007. Its effect on parents’ labour market outcomes has never been examined. We would like to use the IDI to examine whether free ECE improves mothers’ and fathers’ labour market participation and lessens any wage differential from childbirth.

Gail Pacheco, Isabelle Bouchard, Chao Li, Lydia Cheung
Auckland University of Technology
Contact: lydia.p.cheung@aut.ac.nz

MAA2016-28 An expenditure based estimate of income under-reporting in New Zealand

This project is looking at finding evidence of self-declared income being under reported by tax payers. These tax payers would likely be people who can self-report and therefore have opportunity to manipulate or falsify their reports. The main aim of this study is to confirm that this practice is happening and the practice is identifiable, but will stop short of actually identifying any individuals.

The evidence will allow Inland Revenue to both enhance their own understanding of the Tax System and also begin to measure the 'black economy'.

Sean Comber and Alex Collier
Inland Revenue Department
Contact: sean.comber@ird.govt.nz

MAA2016-19 2016 Pacific economic trends and snapshot

This project intends to use the LEED data to produce an update of the 2013 Pacific Economic Trends and Snapshot report. This report provides an overview of key economic and demographic trends for Pacific people across New Zealand. The existing report is widely used across MBIE, and the policy teams anticipate the 2016 refresh of the data will be a key reference document in the coming years.

Luke Smith and Dion Gamperle
Ministry of Business, Innovation and Employment
Contact: luke.smith@mbie.govt.nz

MAA2016-17 Are New Zealanders adequately prepared financially for retirement?

The objective of the project is to provide information about the wellbeing of retired New Zealanders in terms of adequacy and replacement rates while accounting for factors affecting retirement income.

The research will be using the Life Cycle Hypothesis Model to assess wellbeing levels or retired New Zealanders by investigating the relationship between retirement wealth, consumption, expenditure and liquidity levels.

Jelita Noviarini
University of Otago
Contact: novje170@student.otago.ac.nz

MAA2016-04 An economic analysis of post-tertiary outcomes in New Zealand using linked administrative data

This research proposal is to investigate the early outcomes of tertiary graduates. Specifically, the researchers are interested in the types of jobs and earnings of graduates, the continuity and turnover in employment and their likelihood of leaving New Zealand.

Professor Tim Maloney, Professor Basil Sharp, Professor Geoff Perry and Dr Nan Jiang
Auckland University of Technology
Contact: tim.maloney@aut.ac.nz 

MAA2015-51 Labour mobility as a channel for productivity knowledge spillovers

This project seeks to look at labour mobility as a channel for productivity knowledge spillovers. Researchers want to look at how knowledge from companies with high productivity shifts to companies with lower productivity when individuals move to a new company. The LBD will be used to work out productivity measures for different firms and to control for the characteristics of these firms. The IDI will be used to investigate the effects of different characteristics of workers. It will also measure the benefits to workers in terms of remuneration for their ability to pass on their knowledge in regards to productivity. This research will also look at the flow of information/workers across and within different industries.

Michael Kirker and Lynda Sanderson
The Treasury
Contact: lynda.sanderson@treasury.govt.nz

MAA2015-43 Human capability in New Zealand’s primary sector

The project will use the Integrated Data Infrastructure to answer research questions of interest to the participating organisations that relate to human capability in the primary sector.
Particular research areas include:

  • understanding workforce composition
  • understanding industry tenure and replacement rate
  • understanding current workforce skills (qualifications) levels.

Related links:

Adam Barker, Denny Hioe, Mark Hampshire, and Sergei Koudrin
Ministry for Primary Industries
Contact: adam.barker@scarlatti.co.nz

MAA2015-10 Government policy and the labour market

Motu are working on a large project that will investigate how government policy affects the behaviour and outcomes of the labour market. This section of the project will be investigating the effect of the 90-day trial periods of employment and how its introduction has affected firms' hiring policies and attitudes, and how those changes have then affected disadvantaged job seekers.

Nathan Chappell, Dr David Maré, and Dr Isabelle Sin
Motu Economic and Public Policy Research
Contact: isabelle.sin@motu.org.nz

MAA2015-08 Ageing workers & labour market outcomes following injury

Injury is responsible for 29% of disability in New Zealand and scarce evidence suggests injury plays a major role in reducing participation in work for older workers (aged 45+ years), restricting their quality of life in retirement.  This project will use the IDI to examine financial well-being following injury in NZ's older workers (aged ≥45 years).

Related links:

Gabrielle Davie and Dr Rebbecca Lilley
University of Otago
Contact: gabrielle.davie@otago.ac.nz

MAA2014-33 Managing safe, productive, and profitable workplaces: Trade-off or win-win?

The government aims to improve productivity and economic growth while also reducing workplace injury. This research will investigate the relationship between human resource management (HRM) practices, management of health and safety responsibilities, and worker and firm outcomes. It can be seen as broken down in to three main research questions:

  • Are better-managed firms also better at health and safety (management)?
  • Do better-managed firms have less workplace accidents and does this help explain performance differences across firms?
  • How much of the apparent relationship in (2) is due to worker sorting?

Michelle Poland
Worksafe New Zealand
Contact: michelle.poland@worksafe.govt.nz

MAA2014-31 The dynamics of the state service workforce

This project will test the feasibility of linking SSC's human resource capability (HRC) survey of state service payroll data, with Statistics New Zealand's IDI to produce new information on the dynamics of the state sector workforce and then to carry out research using their linked results.

The project will help SSC in two of its key roles:

  • Understanding how the state services are changing.
  • Helping build state sector workforce and leadership capability.

Related links:

Tas Papadopoulos
State Services Commission
Contact: tas.papadopoulos@ssc.govt.nz

MAA2014-26 International revenue growth and exporting businesses – assessing the coverage and impact of NZTE

NZTE works closely with a set of committed firms to help them increase their international revenue (that is, income from trade in goods and services, royalties, and overseas investment).

This project seeks to do two things:

  • Measure and understand the opportunity to further work with NZ exporting firms – NZTE has received funding to expand its set of customers and needs guidance about where to seek appropriate export firms.
  • Understand the impact that NZTE has on this group’s international revenue, and whether it is effectively identifying which of these committed firms to engage with.

John Holt
NZ Trade and Enterprise
Contact: john.holt@nzte.govt.nz

MAA2014-23 The impacts of minimum wage changes on the New Zealand labour market

Previous research has examined the impact of two different changes in minimum wage laws on labour market outcomes for youth. This research found that the impacts varied depending on the circumstances. In this project the researchers are planning to examine these policy changes in the context of a model of the youth labour market to better understand under which circumstances minimum wage increases lead to better outcomes for youth.

Dr Isabelle Sin
Motu Economic and Public Policy Research
Contact: isabelle.sin@motu.org.nz

MAA2014-20 Linking remittances: Inflows of remittances to the Pacific and their effect on economic development

The researchers wish to identify the reasons for the remittance and whether the remittances are being used for personal reasons or for small businesses in the Pacific islands. This will help highlight small business investment opportunities in the islands from firms in New Zealand and Australia.

Alberto Posso
Royal Melbourne Institute of Technology
Contact: alberto.posso@rmit.edu.au

MAA2014-17 Firm behaviour and corporate tax reform in New Zealand

The researchers wish to differentiate the various groups of firms and deal with tax reform and what effect taxation change has on firm investment using the data from the 2005 and 2008 tax reform changes as included in the LBD.

John Creedy, Norman Gemmell, Florian Misch, and Lynda Sanderson
Economic Research and Analysis Team, New Zealand Treasury
Contact: angela.mellish@treasury.govt.nz

MAA2013-23 Using the Longitudinal Business Database (LBD) to better understand New Zealand’s productivity and improve policy

This project represents a wider programme of work under the auspices of the Productivity Hub including both the undertaking of policy relevant research and the building of capability across the Hub’s partner agencies and the wider public sector.

Paul Conway
Productivity Commission
Contact: paul.conway@productivity.govt.nz

MAA2013-10 Impacts of foreign direct investment on labour market earnings

This project is supported by Treasury and aims to examine the role of foreign-owned firms in importing and building human capital in New Zealand.

Lynda Sanderson
New Zealand Treasury
Contact: lynda.sanderson@treasury.govt.nz

MAA2012-17 Labour market dynamics and transitions

Research is being conducted for MBIE and focuses on:

  • evaluating the impact of further tertiary education and training on beneficiaries' labour market outcomes
  • evaluating the impact of wage subsidies on beneficiaries' labour market outcomes and firm employment
  • describing labour market transitions
  • describing youth transitions
  • describing beneficiaries' transitions
  • describing beneficiaries' labour force status and intentions to seek work in the future

Related links:

Keith McLeod
Ministry of Business, Innovation and Employment
Contact: keith.mcleod@mbie.govt.nz

MAA2012-16 Firm performance, productivity, innovation, and skills

The purpose of this research programme is to investigate:

  • The persistence of skill shortages and their impact on firm performance
  • Cyclical labour market adjustment
  • Innovation, skills, firm productivity, and performance

Related links:

Sarah Crichton
Ministry of Business, Innovation and Employment
Contact: sarah.crichton@treasury.govt.nz

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Education and training

MAA2017-43 Apprenticeship vs degree costs vs benefits

We want to assess the lifetime earnings of people who did an apprenticeship (proxied by level 4 qualification where we can’t otherwise find people’s post-secondary education) and people who obtained a level 7 or above qualification. We also want to compare these people to people with no post-school qualification.

Additionally, we want to ensure we are comparing like with like by only considering those people who obtained a level 3 secondary school qualification.

We wish to assess this for various occupations and industries.

Konrad Hurren
Ministry of Business, Innovation and Employment
Contact: john.laurenson@mbie.govt.nz

MAA2017-37 Student pathways through science in higher education

The goal of this research is to investigate how the pathways that students take through non-compulsory education (ie NCEA level 2, NCEA Level 3 and tertiary study) differ as a function of student’s social location (gender, ethnicity, social background). More specifically, we want to investigate whether students from particular backgrounds are more likely to choose to study science subjects (physics, mathematics, chemistry, biology, social sciences) in NCEA, and how this leads to studying science at university level. Based on previous research, we expect to see that white/Asian, male students may be more likely to progress in all science fields, while female students may be underrepresented in physics. Students from Māori and Pasifika backgrounds may be underrepresented in science overall. The complex interactions between student factors such as socio-economic status, geographical location, and parental education are also important to consider.

Steven Turnbull and Dion O'Neale
The University of Auckland
Contact: stur600@aucklanduni.ac.nz

MAA2017-35 Exploring the effects of education on health outcomes

The Ministry of Education will lead a project to estimate the impact of education outcomes (NCEA levels 2 and 3) on subsequent health status and events of individuals (and potentially, their children). This project will be supported by the Ministry of Health, Stats NZ and European Commission (EC) researchers.

The study will use data in the IDI to do a retrospective cohort study using explicit attribute matching, multi-level regression or other analytical methods, as deemed appropriate.

Gianluca Mazzarella, Massimiliano Bratti, Stefano Verzillo, David Earle, Wayne Tan, Sara Shakouri, Ricardo Namay, Michele Morris, Barclay Antiss, Philip Stevens, Enkelejda Havari, Sophie Guthmuller, Werner Molano
Office of the Prime Minister's Chief Science Advisor, New Zealand
Contact: barbara.annesley@education.govt.nz

MAA2017-34 Examining the strengths and weaknesses of NCEA

The introduction of the NCEA has caused some dramatic changes to the secondary school landscape in New Zealand. NCEA proponents claim it caters to students with different levels of ability and allows the flexibility to recognise a wide range of skills. However, critics of NCEA point out that this flexibility can also have the downside of poorly reflecting academic competency. As such, there are concerns that improving pass rates and closing achievement gaps may be due to schools ‘gaming’ the system rather than increasing student competency. These concerns are echoed by universities observing more incoming students struggling with basic skills and New Zealand’s stagnant performance on international measures of skills. Another concern with NCEA is that the increasing use of internally assessed work risks exposing grades to implicit biases of the assessor. This project seeks to determine whether these criticisms have merit by observing whether the outcomes such as pass rates and high school and university dropout rates can be explained by the flexibility of standard choice offered by NCEA. It will also compare results from internally and externally assessed standards to determine whether there is evidence of bias against certain groups of students.

Eric Crampton, Martine Udahemuka
The New Zealand Initiative
Contact: martine.udahemuka@nzinitiative.org.nz

MAA2017-31 Tertiary graduate outcomes 3 and 5 years’ post-graduation

This research will contribute to supporting student and parent decision-making about study choices, and government decision-making about investment in tertiary study. We will explore the employment and income outcomes of tertiary graduates at three and five years’ post-graduation. We are interested in determining employment status and personal income of recent graduates as they progress through the workforce, concentrating on differences by: level of qualification received (eg sub-degree, degree, taught postgraduate, research postgraduate, PhD); the type of tertiary education organisation (TEO eg university, ITP, wānanga, PTE); and predominant field of study (NZSCED). Anticipated outcomes of this project are median or average employment rates and annual income earnt, by level of qualification, type of TEO and field of study. Where possible, we would also like to explore differences by sex, age ,and ethnicity. The research will include both domestic and international graduates, including their current residency status.

Scott Henwood and Heather Kirkwood
Universities New Zealand
Contact: chris.whelan@universitiesnz.ac.nz

MAA2017-29 Evaluating school performance with contextualised attainment measures using linked administrative data

Parents’ use of decile rankings as indicators of school quality has had detrimental effects for the school system. NCEA league tables also fail in telling parents about real school quality: a school serving disadvantaged students and achieving a 70% NCEA completion rate may be strongly outperforming a school achieving an 87% completion rate for the children of rich and highly educated parents. This project aims to calculate a better measure of school performance that accounts for the students and families each school serves.

Rachel Hodder and Martine Udahemuka
The New Zealand Initiative
Contact: rachel.hodder@nzinitiative.org.nz

MAA2017-22 The impact of earthquakes on student outcomes and mental health

This research is investigating the impact of earthquakes on student outcomes and mental health. I will compare course pass rates and attrition amongst university students for those that have experienced earthquakes with those that have not, and identify whether differences in student performance can be explained by changes to mental health. Because earthquakes may impart persistent effects on students of all ages, the work will also investigate the role of earthquakes on the decision to attend a tertiary education. This research will help identify strategies to support students if an earthquake occurs, and to reduce the impact on student outcomes.

Olivia Wills, Harold Cuffe
Victoria University of Wellington
Contact: harold.cuffe@vuw.ac.nz

MAA2017-12 Returns to initial years of formal education: How birthdate affects later educational outcomes in New Zealand

In most developed countries, children start primary school at a fixed date (beginning of term 1). In New Zealand, the system differs and children typically start school as soon as they turn five. This research will examine whether the differences in dates of birth (and hence school start) have an effect on the educational outcomes of individuals under the current New Zealand primary education system. Further, the study will also examine the extent of this impact.

Andrea Menclova and Asaad Ali
The University of Canterbury
Contact: andrea.menclova@canterbury.ac.nz

MAA2016-13 What are the characteristics associated with the tertiary education participation, retention and completion rates of Māori and Pasifika learners?

The purpose of this study is to update and extend previous work completed by Earle (2008) – Māori achievement in bachelors degrees revisited. The analysis to be undertaken aims to explore how participation, retention and completion for Māori and Pasifika learners differ to those of other ethnic groups. And to what extent can these differences be explained by differences in (a) prior school achievement or (b) socio-economic status.

Related links:

Gail Pacheco, Guanyu Zheng, Zoe Pushon and Lisa Meehan
New Zealand Productivity Commission
Contact: zoe.pushon@productivity.govt.nz

MAA2015-38 School leaver journeys

The schooling system is compulsory from 6-16 years but is also attended from 5-18yrs by a majority of students.  However there are a significant number of students who leave school early.  If we can prepare them for life after school their outcomes are likely to be much more positive. This study aims to investigate the journeys of school leavers and the effect of schooling and schooling achievement on early adult life.  A key question for this project is: For school leavers with no NCEA or other qualifications what other factors are associated with positive early adult outcomes?

Rico Namay, Jasmine Ludwig, David Friggens
Ministry of Education
Contact: rico.namay@education.govt.nz

MAA2015-20 Credit and education: The short- and long-run effects of financial aid for struggling students

Research is looking at how limiting access to student loans and benefits will have an effect on attaining tertiary degrees. Researchers will compare students that just fail to meet eligibility for student loans to those barely meeting the requirements. They will also look at the outcomes of education for those whose study has been in part completed with the aid of financial assistance.

Harold E Cuffe and Luke Chu
Victoria University of Wellington
Contact: harold.cuffe@vuw.ac.nz

MAA2015-11 Evaluating performance-linked funding

Motu are assessing to what extent the educational performance indicators, used under the performance linked funding (PLF) system, to evaluate tertiary education organisations, capture value added by the tertiary study. In addition, the project wants to examine to what extent the indicators merely capture the backgrounds of the students who enrol. Finally it will investigate whether the introduction of PLF has caused tertiary education institutions to change their admission or teaching behaviour.

Sherry Wu and Dr Isabelle Sin
Motu Economic and Public Policy Research
Contact: isabelle.sin@motu.org.nz

MAA2015-04 The outcomes for tertiary education in New Zealand

The Tertiary Education Commission (TEC) is responsible for the funding of tertiary education in NZ, under the policy direction of the MoE. In the past, we have focused mostly on inputs and outputs. There is now a much greater focus on ensuring that we are funding provision that results in good outcomes for its learners and for New Zealand as a whole. To do that, we need better and more detailed data on key outcomes (particularly employment, further study and income), and the IDI provides a unique source for this information.

Under this project the TEC is producing labour market outcome information at a provider, regional, sector and national level, by level of study. It is looking at how labour market outcomes vary across these domains, taking into account some core learner characteristics (for example, age, gender, prior qualification).

Sergei Koudrin and Anne Broadbent. Formerly: Katie Sadetskaya
Tertiary Education Commission
Contact: sergei.koudrin@tec.govt.nz

MAA2014-28 New Zealand maths performance and maths education

The project is a series of short reports on maths education in New Zealand that will lead to a final report with policy recommendations.

Maths performance in New Zealand schools is slipping.  This research will analyse maths performance over time, and look at the extent to which doing well in maths in school is predictive of later life outcomes.

Student achievement in maths is strongly related to teacher maths ability. The second research question is whether those with adequate numeracy for teaching have become less likely over time to choose teaching as a career.

The third research question concerns socio-economic inequalities in the opportunity to attain mathematical competence: is there a difference in teacher numerical ability by school decile?

Dr Eric Crampton and Rose Patterson
The New Zealand Initiative
Contact: rose.patterson@nziniative.org.nz

MAA2013-17 Student loan and allowances – analysis, costing, and valuation

This is a continuation of the Student Loans and Allowances fair valuation conducted by the Ministry of Education and their delegates. It examines the impact and cost of student support policy proposals; analysing the performance and outcomes of the student support system; and supporting the valuation of the Student Loan Scheme.

Jamie Hyatt
Ministry of Education
Contact: jamie.hyatt@minedu.govt.nz

MAA2013-04 How much of tertiary graduates’ earnings premium is due to their education?

This research aims to investigate the extent to which the earnings benefit young graduates enjoy is due to their tertiary educational achievement and how much is attributable to innate ability and attitudinal factors.

Zaneta Park
Ministry of Education
Contact: zaneta.park@minedu.govt.nz

MAA2013-03 Who doesn’t participate in tertiary education?

This project provides a statistical profile (ie demographic and educational characteristics) of those who leave school and don’t go into tertiary education. It explores the labour market outcomes of those people, including incidence of benefit receipt, disengagement from the labour market, and earnings.

Zaneta Park
Ministry of Education
Contact: zaneta.park@minedu.govt.nz

MAA2013-02 Provider-based 'managed' apprenticeships – an exploration

This research is exploratory data analysis of the earning and work records of tertiary students in the IDI to investigate the numbers of managed apprenticeships and their outcomes (post study destinations and earnings).

Paul Mahoney
Ministry of Education
Contact: paul.mahoney@minedu.govt.nz

MAA2012-19 Developing and analysing tertiary education outcome indicators for graduates

The project proposed by the Ministry of Education aims to use the IDI to investigate the development of new measures of: 'graduate destinations' (what graduates do after graduation) and employment outcomes for graduates.

Related links:

Warren Smart, Zaneta Park, and Paul Mahoney
Ministry of Education
Contact: paul.mahoney@education.govt.nz, zaneta.park@education.govt.nz  

MAA2012-14 Education and skills

This research is being conducted for MBIE and focuses on:

  • describing migration patterns and border movements of graduates and students 
  • evaluating the impact of further tertiary education and training on labour market outcomes 
  • describing youth transitions.

Related links:

Keith McLeod
Ministry of Business, Innovation and Employment
Contact: keith.mcleod@mbie.govt.nz

MAA2012-10 Measuring cohort participation, completion, and outcomes to inform performance measures for tertiary education

The purpose of the research is create measures of tertiary participation, completion, and outcomes at a population level. This will be used to understand the performance of tertiary education.  Work to date has included monitoring and evaluation of specific initiatives, such as Youth Guarantee,  developing measures of labour market outcomes for young people, including being not in employment, education and training (NEET) and exploring risk factors associated with participation and achievement in tertiary education. 

Related links:

David Earle
Ministry of Education
Contact: david.earle@minedu.govt.nz

MAA2012-08 The factors associated with student loan borrowers not being able to repay their loans, or to only repay very slowly

The project is investigating factors that affect the rate of repayment of student loans. A clearer understanding of the characteristics of slow re-payers, and their attitudes and experience, will provide insights that could help plan policy interventions or operational changes that will address the problem of slow repayment.

Related links:

Ralf Engler
Ministry of Education
Contact: ralf.engler@minedu.govt.nz

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Families and households

MAA2017-50 Can “Big Data” identify new risk factors for Sudden Unexpected Death in Infancy (SUDI)?

SUDI mortality has decreased dramatically since the late 1980s. This is due to the “Back to Sleep” campaign, which advised mothers to place their infants to sleep on their back. SUDI cases now are more complex, with greater socioeconomic disadvantage and with maternal smoking, alcohol, obesity and drug abuse. SUDI rates in Māori are higher than in non-Māori.
The aim of this study is to examine the association of SUDI and Service Contact recorded in the Integrated Data Infrastructure (ICD), adjusting for ethnicity and socio-demographic factors.
We will test two hypotheses:

  1. That Service Contact (including maternal mental health services, Child Youth and Family, Department of Corrections) are risk factors for SUDI.
  2. That the higher rates of SUDI and Service Contact in Māori are attenuated when socio-demographic and environmental SUDI risk factors are taken into account.

This study will identify new risk factors for SUDI which have not been identified previously. This may lead to targeting of PEPE (Safe Sleep) messages to at-risk groups and will inform the Child and Youth Mortality Review Committee.

Barry Milne, Chris Liu, Edwin Mitchell, John Thompson
Contact: b.milne@auckland.ac.nz

MAA2017-38 Understanding Adjustment and Inequality – IDI components

This project has largely overlapping scope with MAA2003/18, which provides access to Census data.

The project examines a range of explanations for the changing nature of the New Zealand economy and society, focusing in particular on sources of unequal outcomes (across individuals, households, and spatial communities), and the way that local and national markets adjust to demographic and economic change.

Dave Maré, Dean Hyslop, Isabelle Sin, Omoniyi Alimi
Motu Economic and Public Policy Research
Contact: dave.mare@motu.org.nz

MAA2017-33 The future spatial distribution of ethnicity in Auckland

The project is a part of the ‘Capturing the Diversity Dividend of Aotearoa/New Zealand’ (CADDANZ) research programme, which is funded by the Ministry of Business, Innovation and Employment. The aim of this project is to simulate how individuals living in Auckland will locate on the basis of their ethnicities in the future. A dynamic microsimulation model will be used to predict the future spatial distribution of ethnicity in Auckland. The anticipated outcomes of the research are four journal articles, that will form the basis of a PhD thesis. The first Research Article will look into how people will locate on the basis of ethnicity in Auckland. The second Research Article will determine which factor among ethnicity, education, occupation or income exhibit the greatest level of segregation in Auckland. Research Articles 3 and 4 will identify the determinants of ethnic identity preferences among adult and children in Auckland.

Mohana Mondal, Jacques Poot, Michael Cameron
The University of Waikato
Contact: mm399@students.waikato.ac.nz

MAA2017-19 Challenges to the safety and stability of early home environments

Safe and stable early home environments are important for the psychosocial wellbeing of young children. Challenges that impact on the safety and stability of children’s early environments place them at increased risk for a range of poor outcomes in their early years and throughout the life course. This research will explore the extent to which the IDI can be used to identify early challenges, describe the characteristics of children who experience early challenges, assess the implications of these for children’s psychosocial wellbeing, and, if possible, explore the role of services and supports. It is anticipated that the findings will help inform policies intended to promote psychosocial wellbeing in children.

Nevil Pierse, Oliver Robertson, Kim Nathan
University of Otago
Contact: nevil.pierse@otago.ac.nz

MAA2017-09 Te kaha o nga rangitahi ki Tamakimakaurau

This project will use the IDI to produce some of the baseline measures for the Maori wellbeing outcome metrics described in the Independent Maori Statutory Board’s Maori plan. These baseline measures will be calculated for the whole Maori population of the Auckland Council region, with a separate analysis for rangatahi aged 10-24. Where possible, these baseline measures will be reported by gender and by the local board area. Rangatahi outcomes will be reported by 5 year age bands where confidentiality and security provisions allow.

Barry Milne, Andrew Sporle, James Hudson, Martin Von Randow, Chris Liu
COMPASS (The University of Auckland)
Contact: b.milne@auckland.ac.nz

MAA2017-04 Response to earthquake shocks: Retirement plans and saving decisions for the near-retirement age population, and academic performances for school age children

  1. Older individuals may be more vulnerable to large-scale natural disasters than younger individuals, since they have fewer years to make up for the losses if occurred and build towards to a comfortable retirement life. Do older individuals stay in the labour market longer, change saving patterns, in the five years after the Christchurch earthquake? 
  2. Houses had various degree of damages in Christchurch. Some can be repaired or rebuilt. Others such as in the residential red zones cannot be repaired or rebuilt for the land has been so badly damaged. Families living in the red zones were unlikely to move back over a short to medium term. If families with school age children moved out of their school zones and could not move back shortly, where would they send their children and would that affect children’s academic performances?

Paul Thorsnes, Yi (Athena) Huang
University of Otago
Contact: athena.huangyi@gmail.com

MAA2017-02 Family and Whānau Health Wellbeing indicator review

The project will use the New Zealand Health Survey (NZHS) data to produce new health wellbeing outputs for Superu’s annual status report on families and whanau in New Zealand.
The research will summarise health indicators from the NZHS across Superu’s six family types and by different demographic characteristics, such as ethnic group. This is the first time that the NZHS data has been described in terms of family type.
The work will require the Ministry of Health and Superu working together to add family type to the NZHS. This new dataset will be made available to the wider research community through Statistics New Zealand’s microdata access.

Jeremy Robertson, Eric Krassoi-Peach, Jason Timmins
Contact: jason.timmins@superu.govt.nz

MAA2016-53 Intergenerational analyses using the IDI

COMPASS team at University of Auckland are going to use the IDI to investigate inter-generational links to see if this is possible to construct. If they are able to create these links they will look to answer three questions:

  • How many generations can be identified, and how many people in each generation?
  • Are the generations in similar locations between each generation?
  • Inter-generational effects of disorders

Irene Wu and Barry Milne
University of Auckland
Contact: b.milne@auckland.ac.nz

MAA2016-52 Working for Families (WFF) Uptake

Working for Families (WfF) is a tax credit for low and medium income families with children. There are ongoing reports that uptake of working for Families may not reflect entitlement, some families are not receiving WFF when they are entitled. This project aims to use multiple data sources on family structure, income and number of children in those families to investigate whether this assertion is true, and if there is a regional dimension to the issue.

Elenita Castillo, Valmai Copeland, Kathryn Featherston, Graeme Buckley, Mike O’Connor, Paul Merwood and Simon Leong   
Inland Revenue Department
Contact: elenita.castillo@ird.govt.nz

MAA2016-47 Exploring the economic causes and consequences of childhood maltreatment

This study seeks to understand the economic causes and consequences of child maltreatment using linked integrated data.

The particular focus of this study is:

  1. To investigate the role of economic circumstances on child maltreatment by analysing the impact of welfare policies and macroeconomic conditions on child maltreatment rate.
  2. To investigate the long term consequences of childhood maltreatment in the domain of education, crime and fertility.

Rhema Vaithianathan, Tim Maloney and Benedicte Rouland
Auckland University of Technology
Contact: rvaithia@aut.ac.nz

MAA2016-31 Child protection inequality: exploring the relationship with deprivation

The primary aim of this research is to develop a greater understanding of the relationship between deprivation and contact with the child protection system. This knowledge will have significant implications for policy, research and practice, for example to highlight to what extent addressing deprivation may have on reducing contact with the child protection system, to ascertain how resources to different communities should be allocated, and what risk factors for specific groups should be addressed. In particular this knowledge is needed to inform policies regarding the distribution of child protection resources for both statutory and NGO preventive services, as well as wider social policies that control the incomes and costs of poor households.

Gabrielle Davie, Emily Keddell, David Barson and Rebbecca Lilley. Formerly: Brandon de Graaf
University of Otago
Contact: gabrielle.davie@otago.ac.nz

MAA2016-23 Vulnerable children investment approach

This project seeks to develop the actuarial valuation model and use this model to estimate the system wide forward liability.

Other questions associated with understanding New Zealand’s vulnerable children will also be considered. The types of questions that will also be asked include:

  • What characterises clients with higher forward liability?
  • What does vulnerable mean? What relationships exist between existing views of child vulnerability and the forward liability?
  • What are the life experiences of people that experienced vulnerability as children?
  • What indicators suggest poor childhoods?
  • What childhood indicators suggest poor life outcomes?
  • How do people that experienced vulnerability as children interact with other government services throughout their lives?

Craig Davis
Ministry of Social Development
Contact: craig.davis036@msd.govt.nz

MAA2016-12 Using birth information to predict reaching key early childhood development indicators: identifying at risk populations

This application will inform the Better Start National Science Challenge on risk factors associated with poor childhood outcomes (obesity, mental health, and poor literacy) with the purpose of improving targeted interventions.

This research will investigate the extent to which children at risk of these negative outcomes can be identified early using variables such as birth weight, parent’s relationship status and age, and ethnicity. These risk factors will, after being linked to the before school checks table, provide evidence to the Challenge that these variables identify children at risk of poor developmental outcomes.

Dr Rick Audas and Dr Barry Milne
University of Otago
Contact: rick.audas@otago.ac.nz 

MAA2016-09 The impact of exposure to violence: pilot investigation

The researchers are developing a survey to investigate the impact of violence and would like to investigate the potential usefulness of the IDI to supplement this survey with admin data.

Using admin data would allow researchers to plug the gaps in the survey responses and to devote more time to developing positive relationships with their subjects—something that would help with the survey process.

Pauline Gulliver, Janet Fanslow, Debbie Waayer and Cannis Tse
University of Auckland
Contact: p.gulliver@auckland.ac.nz

MAA2016-08 Indicators of social dynamics

The project investigates which indicators of social dynamics can be used to estimate conditional spatial/transformational distributions without knowledge of the explicit linking. The outcomes of the project will be an empirically tested methodology that can be used to estimate non-parametric conditional spatial/transitional distributions of a given social variable without reliance on explicit defined linking.

Related links:

Christopher Ball. Formerly: Michael Ryan
Victoria University of Wellington

MAA2015-19 Modelling income and earnings dynamics

The request is part of a broader project to contrast individual and family longitudinal income and earnings in New Zealand with Australia and the United States. Initial work will use SoFIE data and for more recent information IDI/HLFS data is requested.

Dr David Maré, Correy Allan, Jaime Lancaster, and Oliver Robertson
Motu Economic and Public Policy Research
Contact: dean.hyslop@motu.org.nz

MAA2015-15 Marital separation in New Zealand – the financial consequences for parents

The project seeks to use Working For Families data in the IDI to undertake cohort-based analyses analysing outcomes for couples with children who separate in a given year. The initial analysis will focus on couples who were together in the 2006 tax year and separate in the 2007 tax year. Subsequent analyses will investigate other cohorts.

Michael Fletcher, Professor Ian Shirley, Professor Tim Maloney, and Dr Dave Maré
AUT University
Contact: michael.fletcher@aut.ac.nz 

MAA2013-14 Treasury SoFIE

Project 1: The research will look at the distribution of assets, liabilities and net worth across various household types.

Key areas include:
a. The indebtedness of households. Determine whether the higher debt recently taken on by the household sector is largely accounted for by households that can adequately service that debt. The characteristics of households that are financially stressed, or are likely to become stressed in an economic downturn, will be analysed.
b. The relationship between ethnicity, gender, health and net wealth
c. Household saving rates. SoFIE allows examination of stock measures of household savings using micro-level data (i.e. a bottom-up measure of household savings).
d. The effect of the student loan scheme on net wealth accumulation, the level and composition of debt and family formation.
e. The adequacy of saving and wealth accumulation for retirement
f. The composition of household portfolios and the role of home ownership.
g. The role of KiwiSaver in retirement savings.
h. Housing affordability and tenure
Wealth related health inequalities

Project 2: The research will examine static (i.e. cross-sectional) and dynamic (i.e. longitudinal) income distribution and labour market experiences, such as labour market spells and transitions into and out of the workforce.

Key areas include:
a. The relation between demographic and socio-economic characteristics and income distribution over time
b. The relation between demographic and socio-economic characteristics and labour market experiences, such as labour market spells and transitions into and out of the workforce
c. The relation between demographic and socio-economic characteristics and welfare experiences
d. The drivers and outcomes of economic inactivity
e. Income related health inequalities

Dr Kristie Carter, Dr Grant Scobie, David Law, Dr Penny Mok, Anton Samoilenko
The Treasury
Contact: grant.scobie@productivity.govt.nz

MAA2015-13 Childhood poverty: precursors, persistence, prognosis, and policy

The project seeks to evaluate whether it is possible to use the Integrated Data Infrastructure (IDI) data to define childhood poverty. This involves defining households, determining households in poverty, and determining the children within those households.

This is part of a wider project to undertake a series of investigations looking at these questions:

  • Can children in poverty – and their families – be assessed using routine data available through the IDI?; and, assuming the answer is yes;
  • Who becomes trapped in childhood poverty and why?
  • What is the duration of poverty experience for children, and how does the timing and persistence impact later health, education, employment, social, and justice outcomes?
  • What is the effect of lifting children from poverty?

Dr Barry Milne
University of Auckland
Contact: b.milne@auckland.ac.nz

MAA2013-06 Labour market monitoring/impacts of policy changes on sole parent labour force status

The Ministry of Social Development is using HLFS data to carry out research – largely descriptive data analysis – of the labour market 'as part of their role in supporting increased employment of benefit recipients'.

Lorna Bunt
Ministry of Social Development
Contact: lorna.bunt003@msd.govt.nz 

MAA2014-12 A retrospective, quasi-experimental study to evaluate the effect of the Family Start home visiting programme on children's health, safety and well-being, their preparedness for school, and maternal well-being

The Family Start (FS) programme is a $30m per annum government programme that involves FS workers making regular visits to the homes of high-risk expectant mothers and new-born babies and mothers. The aim is to improve outcomes in the domain of the child's health, safety, preparedness for school and well -being. Improvements in maternal well-being are also sought. This research project evaluates whether the children and mothers who have received these visits show improvements in targeted outcomes as measured by variables that are already held in administrative data systems.

Related links:

Rhema Vaithianathan, Sarah Baird, Tim Maloney, Moira Wilson and Irene De Haan
Ministry of Social Development
Contact: rhema.vaithianathan@aut.ac.nz

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Health and safety

MAA2017-40 Child poverty: health consequences, costs and policy interventions

This research will provide policy makers with comprehensive and robust evidence on the most effective way to reduce the impact of childhood poverty on health. We will consider direct and indirect mechanisms through which poverty influences child health, so that resources can be directed for maximal impact. Through the construction of a child cohort from linked administrative and survey data (the Integrated Data Infrastructure), and the use of cutting edge analysis techniques, the following research questions will be addressed:
1. What is the effect of childhood poverty on health, and for which health outcomes?
2. Which aspects of poverty dynamics (i.e., timing, duration) have the greatest impact on later health outcomes?
3. Which factors most strongly mediate the association between child poverty and health, and what are the likely benefits of intervening on these factors?
This research will inform the nature and timing of interventions to reduce the impact of child poverty.

Barry Milne, Nichola Shackleton, Amanda Kvatsvig, Sheree Gibb, Andrew Sporle, Tony Blakely, Rebecca Bentley
The University of Auckland
Contact: b.milne@auckland.ac.nz

MAA2017-30 Health and social need for Maori and Pacific in Canterbury

This project aims to understand the pattern and level of need for health and social services for Maori in Canterbury. The aim is to support the development of a comprehensive health and social services centre, by understanding the nature and prevalence of complex needs among Maori, and to support a case for investment by government agencies in improved outcomes for Canterbury Maori.

Greg Hamilton, Tom Love, Cameron Lacey, Tania Huria, Michael Ryan
Canterbury District Health Board
Contact: greg.hamilton@cdhb.health.nz

MAA2017-16 What happens to young people with mental health conditions – evidence from the New Zealand Integrated Data Infrastructure?

The better start national science challenge has identified three key areas of childhood development: mental health, literacy and obesity.  In this proposal we seek to gain access to the IDI datasets necessary to predict the impact on a number of adult outcomes from an experience of mental health conditions as youths. We seek to identify whether mental health indicators, as captured in PRIMHD, NMDS, SOCRATES and PHARMS databases, offer significant predictive capacity for a range of short, medium, and long term outcomes as adults (such as educational or work success).  Furthermore, we are interested in determining the extent to which demographic, socio-economic and other factors mediate the effect of mental health problems as adolescents upon their outcomes as adults.

Rick Audas, Barry Milne, Jesse Kokaua, Nichola Shackleton, Barry Taylor
University of Otago
Contact: rick.audas@otago.ac.nz

MAA2017-15 Predicting literacy interventions using the B4 School Check

The better start national science challenge has identified three key ares of childhood development: mental health, literacy and obesity.  In this proposal we seek to gain access to the IDI datasets necessary to predict the use of literacy interventions.  We seek to identify whether developmental and health indicators as captured in the b4 school check offer significant predictive capacity for a primary school literacy intervention (such as reading recovery).  In particular, we are interested in determining whether early hearing, vision or behavioural difficulties are associated with a greater likelihood of a literacy intervention being necessary for that child.  Furthermore, we are interested in determining the extent to which family disruption increases the risk of literacy problems and also whether living in a multilingual household offers some protective effect.  Controls for geography, ethnicity and socio-economic status will also be employed.

Rick Audas, Barry Milne, Jesse Kokaua
University of Otago
Contact: rick.audas@otago.ac.nz

MAA2017-13 Prenatal SSRI use and autism risk

Some previous studies have suggested that the use of Selective Serotonin Reuptake Inhibitors (SSRIs, a class of medications commonly prescribed for depression and anxiety symptoms) during pregnancy may increase the risk of ASD by disrupting foetal development. We plan to examine whether prenatal SSRI use impacts autism risk. The findings of this study will be useful in providing clinical guidance about the risks and benefits of SSRI use during pregnancy.
Rick Audas, Sheree Gibb, Barry Milne, Jesse Kokaua, Nichola Shackleton, Tong Zhu
University of Otago
Contact: rick.audas@otago.ac.nz

MAA2017-11 The relationship between exposure to the natural environment and children’s health at different life stages

We propose a retrospective cohort study in children followed until age 16-18 (years 11-13 in secondary school), using linked administrative health data available through Statistics New Zealand’s Integrated Data Infrastructure (IDI), to assess the association between exposure to the natural environment and birth outcomes, school results, ADHD and childhood asthma. The specific aims of the study are to: (1) assess whether exposure to the natural environment (of the pregnant mother and the child) protects against low birth weight and premature birth, poor school results, ADHD and asthma; (2) assess the relevant time windows (prenatal, postnatal, early life, later in childhood) for exposure to the natural environment and its potential effects on the selected health and developmental outcomes; and (3) evaluate dose-response relationships.

Geoffrey Donovan, Andrea 't Mannetje, Marine Corbin
Massey University
Contact: gdonovan@fs.fed.us

MAA2017-08 Promoting health and wellbeing

This project aims to:
• Describe mental health service use for populations of interest to the Health Promotion Agency and its partners (the justice sector in the first instance)
• Quantify indicators of alcohol or tobacco-related harm (using health and crime data, as well as the Census)
• Compare service access and a range of outcomes for NZ children (including immunisation, B4 school checks, hospital admissions) for those with and without parent having an indicator of a mental health condition
Anticipated outcomes may include improved mental health services for some offenders, improved knowledge of alcohol or tobacco-related harm.

Jo Fink, Natalie Horspool, Dr Charles Sullivan, Wa Anwar, Dr Holly Trowland, Dr Hanna Squire, Dr Greg Martin, Dr Fiona Imlach, Dr Amanda Kvalsvig, Jennifer Haubrock, Sarah Rendall
Health Promotion Agency
Contact: C.Sullivan@hpa.org.nz

MAA2017-05 Dementia prevalence and geographical variation in New Zealand

Dementia is a major and increasing global public health concern. In New Zealand (NZ), an estimated 50,000 people were living with dementia in 2014, which is projected to rise to 150,000 by 2050. However, current prevalence estimates in NZ are modelled on European cohorts and predictions of ageing. There has been no population-based study of dementia prevalence in NZ to date.

Given its significant impact on the individual, their families, society and delivery of health care services, there is an urgent need to enhance our knowledge of the true extent of the burden of dementia and the underlying risk factors. There is also a clear need to gather information specific and unique to the ethnically diverse and geographically distributed population of NZ. Therefore, we propose an innovative epidemiological project utilising routinely collected health, social and administrative data within the Integrated Data Infrastructure (IDI) to explore the variation of dementia across NZ. A national population cohort (provided by the IDI) is a valuable resource for investigating both the prevalence and distribution of dementia. We will also look at dementia related diseases (vascular disease and Parkinson’s diseases) to consider the sub-sets of dementia.

The benefits of undertaking this project are threefold:
Firstly, it will generate much needed new knowledge on the scale of dementia specific to New Zealand and the geographical spread of those with dementia.

Secondly, it will form a valuable baseline for future studies on the rates of dementia in NZ. With anticipated rising dementia prevalence, there is a need to document what is found currently within a nationally representative population cohort.

Thirdly, the information obtained will help inform policy on healthcare, resources, services and delivery. It will be hypothesis generating for future work to look at managing and supporting those with dementia in New Zealand. Experience from the UK and Europe suggest that dementia prevalence studies, using existing datasets, are feasible and provide valuable data to improve health care planning and dementia

Katherine Walesby, Sheree Gibb, Jinfeng Zhao, Daniel Exeter
The University of Auckland
Contact: katherine.walesby@ed.ac.uk

MAA2017-01 Health needs arising from rapid social change in the Central Lakes area of the South Island

This project seeks to understand what factors associated with rapid population growth in Central Lakes are contributing to ill-health in working age adults. The project will look at social factors that are currently associated with anxiety and depression and how these have changed over time. The factors to be examined will include things such as income, employment, job security, housing tenure, and household crowding.

Nick Bowden, Vanessa Hammond, Rick Audas, Murat Genc
Southern District Health Board
Contact: nicholas.bowden@southerndhb.govt.nz

MAA2016-65 Insanity acquittees in New Zealand

Forensic rehabilitation for people made Special Patients by the New Zealand Courts after being found ‘Not Guilty by Reason of Insanity’ (NGRI) is important and resource intensive. However, despite more than 20 years of specialised forensic mental health services in New Zealand, little statistical analysis has been conducted describing the NGRI population and what happens to them after they leave forensic mental health services. Currently we do not have answers to many questions that are of high importance to these patients themselves, their victims, the wider public and service providers and planners. These include: “how many people become special patients on average every year in New Zealand”, “is this number changing over time?”; “on average how long do people remain special patients” and “what happens to these people when they leave forensic care—what are the re-offending rates?”

This study will use the IDI data set to determine the population-level characteristics of people found NGRI, consider the trends over time related to ‘insanity’ findings by the New Zealand courts and described the long term health, social and re-offending outcomes of this group.

Ruth Cunningham, James Stanley, Susanna Every-Palmer
University of Otago
Contact: susanna.every-palmer@ccdhb.org.nz

MAA2016-61 Characteristics, Pathways and Services Used by Injury Clients

Key research questions:

  1. What services are accessed by a selected cohort of injury clients before, during, and after ACC? 
  2. What are the profiles of their service use (eg type of services, frequency, time frames in relation to ACC, cost within specified period eg 24 months pre/during/post ACC)? What are the changes in service use and transitions? 
  3. What are the characteristics and pathways of our clients (eg employment, education, income, health)? What of these characteristics are associated with service use and client outcomes? 
  4. What insights can we obtain from these associations in relation to ACC customer experience and outcomes (eg duration and return to work, service and treatment use, injury history including repeat injuries, types/cause etc of injury, barriers to access by segments of the population?

Agnes Guevara, Tahia Eaqub, Auren Xu. Formerly: Finn Sigglekow
Contact: agnes.guevara@acc.co.nz

MAA2016-59 The Productivity Costs of Four Health Conditions in New Zealand

Examining the productivity costs of a particular health condition provides a more comprehensive picture of that condition’s ‘burden’, beyond the more traditionally measured impact on mortality, wellbeing, and health system costs. Productivity costs include income, (un)employment, and welfare benefit receipt. Better understanding of these indirect impacts can lead to more informed decision-making on where to allocate finite resources.

A substantial number of studies have covered this area, using either longitudinal survey data (Carter et al 2013, Jones et al 2015, and Trevisan et al 2015) or routinely collected administrative data (Gracia-Gomez et al 2013 and Jeon et al 2014). In line with the latter, Dixon (Dixon 2015) used administrative data from the Integrated Data Infrastructure (IDI) to estimate the impact of eight health conditions (stroke, traumatic brain injury, coronary heart disease, diabetes, COPD, breast cancer, melanoma, prostate cancer) on employment rates and incomes of working-aged New Zealanders. We aim to apply this same methodology to four other conditions that affect young New Zealanders: ulcerative colitis, schizophrenia, treatment-resistant depression, and chronic hepatitis.
We aim to start with ulcerative colitis as the first project, and then extend to schizophrenia treatment-resistant depression, and chronic hepatitis.

Sheree Gibb
University of Otago
Contact: sheree.gibb@otago.ac.nz

MAA2016-49 Health and Wellness of New Zealand Farmers

This project will use the Integrated Data Infrastructure (IDI) to answer research questions of interest to the participating organisations that relate to farmer wellness and wellbeing.

Particular research areas include:

  • Physical wellness of farmers 
  • Mental wellness of farmers 
  • Wellness behaviour patterns of farmers

Hannah Binnie, Reuben Cairns-Morrison and Adam Barker
Ministry of Health and Scarlatti Limited
Contact: rueben.cairns-morrison@scarlatti.co.nz

MAA2016-44 Long term outcomes for peri-viable births

Mothers who are at risk of delivery before 25 weeks gestation need to make an informed choice as to whether or not to initiate active resuscitation measures. Their primary worry is about their ability to cope with some of the potential long term outcomes. The decision to initiate full ICU intervention vs. newborn palliative care is complex and is influenced by local beliefs about the long-term health outcomes for these children. Current practice varies widely between institutions and there is a paucity of high-quality NZ data available to inform this decision-making.

To be able to bring some clarity to this difficult area of clinical practice, long-term follow up studies of large numbers of these very premature infants are needed. However, given the rarity of extremely premature infants, the costs of follow up and length of follow up required, a traditional prospective cohort study would be very difficult to carry out. Furthermore, where longer-term follow up has been done overseas (UK, Ireland, Norway and Sweden) the picture is variable. Additionally, these data cannot always be extrapolated to the New Zealand situation. We propose to use IDI microdata to follow the life course of infants born at under 25 weeks gestation as recorded in governmental datasets and make comparisons between these infants and those born at more advanced gestational age for a range of long term health, education and social outcomes.

Nevil Pierse and Tim Foster
University of Otago
Contact: nevil.pierse@otago.ac.nz

MAA2016-22 The Red Knot Study: Determining immunisation coverage and burden of vaccine preventable diseases among children of refugees and migrants in New Zealand

This project is investigating the immunisation rates and coverage of children who are either recent migrants or recently born children of new immigrants. As recent outbreaks of vaccine preventable diseases have shown, there are low rates of vaccination in some communities in NZ. The project will be used to develop a strategic action plan for further research work to improve identification and international responses to migrant child immunisation status, enabling better child health outcomes internationally.

Dr Janine Paynter
University of Auckland
Contact: j.paynter@auckland.ac.nz

MAA2016-21 The health impacts of playing Rugby

The project is primarily about quantifying the impacts on an individual’s health from playing Rugby at different levels of the game (professional, amateur, social, etc.). The impacts may include length and quality of life, changes in the age of onset and the rate of incidence of diseases particular to certain Rugby. The second focus is to illustrate the novel use of big data in the research of the health impacts of playing rugby.

Craig Wright, Ken Quarrie and Ian Murphy
New Zealand Rugby Union
Contact: cswright@xtra.co.nz 

MAA2016-16 Social, economic and cultural determinants in health care quality and patient safety in New Zealand

This project intends to use the opportunity to link patients’ socio-economic data to health data over time. It will allow the researchers to explore not only the influence on patient health status, and healthcare pathway experience of socio-economic determinants of health, but also the reverse effects of healthcare pathway experience and outcomes on socio-economic status

Nikolai Minko and Ying Li
Health Quality and Safety Commission
Contact: nikolai.minko@hqsc.govt.nz

MAA2016-11 VIEW-IDI: Vascular risk informatics using epidemiology & the web research programme within the IDI

The research programme VIEW (Vascular Risk, Informatics and Epidemiology – established 2000) is concentrating on developing tools to predict cardiovascular disease, assess risk of cardiovascular disease in all NZ adults and use the data gathered to develop quality improvement programmes to help reduce cardiovascular disease inequities in NZ. The IDI based research will be in three sub projects under this application:

  • replicating the VARIANZ 2006 cohort within the IDI. The Vascular Risk In Adult New Zealanders (VARIANZ) cohort will be used to develop cardiovascular disease risk prevention models that can be applied to the total adult NZ population.
  • use the IDI to create VARIANZ-SEP, an extension of VARIANZ that will add linked individual anonymised information from the 2013 Census, Inland Revenue, and MBIE to provide a comprehensive set of individual measures of socio-economic position (SEP)
  • investigation geographic variations in cardiovascular disease outcomes by using VARIANZ-IDI and VARIANZ-SEP to investigate the spatial and temporal variations in patterns of CVD risk and risk management in New Zealand.

Dr Daniel Exeter, Dr Jinfeng Zhao, Suneela Mehta, Dr Katrina Poppe, Billy Wu and Dr Sheree Gibb
University of Auckland
Contact: d.exeter@auckland.ac.nz

MAA2016-10 Environmental and occupational risk factors for chronic conditions

This research programme will make use of IDI data and will include the following projects:

  • Occupational and pharmaceutical risk factors for congenital malformations
  • Work-related risk factors for cardiovascular disease – a longitudinal study
  • Antibiotics and chronic conditions in childhood – a series of case-control studies

Assistant Professor Andrea‘t Mannetje, Dr Amanda Eng and Dr Sheree Gibb
Massey University
Contact: a.mannetje@massey.ac.nz

MAA2016-07 ACC – Long term claims analysis

The ACC researchers will be looking at using ACC and health data from the IDI to link treatment and injury information to look at the medical history of ACC clients. A growing trend has been identified that clients who have previously had an injury that required ACC support are returning for more treatment /support for the original injury some years later. ACC wish to investigate the reasons for this trend.

Huaning Yang, James Roscoe, James Dawson and Tahia Equab
Accident Compensation Corporation
Contact: huaning.yang@acc.co.nz

MAA2016-05 Health pathways and outcomes

This project represents a Ministry of Health-led programme of work, using the Integrated Data Infrastructure (IDI) to better understand the use, costs, and outcomes of health services and initiatives.

It will examine:

  • Health service use (or non-use) over time, the pathways that people take through the health system and other government services, and the outcomes they experience
  • The social and fiscal costs of long-term conditions resulting from the population being exposed to different health risks, social conditions, and environmental circumstances
  • The relationships between health risks, health initiatives and health outcomes, and social conditions and social outcomes over a lifetime.
  • The research will inform policy development and the design of health services, towards the Ministry of Health’s goal to improve the health and independence of all New Zealanders.

Steven Johnston, Matthew Cronin and Kendra Telfer
Ministry of Health
Contact: steven_johnston@moh.govt.nz

MAA2016-03 Segmentation towards enabling pathways

This project is looking to increase the level of understanding of investment of health and social resources into risk population groups and the potential positive outcomes of this work. The researchers have identified that currently MSD contains a profile of groups of people who receive a benefit of some kind. While research on these profiles have netted results, one major factor of the reason for these individuals being in the MSD profile, their health, is missing. The project will look at investigating adding health profiles to existing government datasets across a range of sectors.

Cameron Walker, Kevin Jia and Michael O'Sullivan
University of Auckland
Contact: michael.osullivan@auckland.ac.nz

MAA2015-53 BODE3 and HIRP-led VHIN research in the IDI

This application is to cover a programme of work with 3 initial projects. They are:

Project 1: What are the health system costs for CVD diagnoses?
Project 2: What is the impact of a CVD diagnosis on labour force status and income, and hence productivity and welfare benefit (sickness, unemployment, invalids) cost?
Project 3: What are the differential impacts of the Canterbury earthquakes on CVD health, by ethnicity, income, and home suburb at the time of the quakes?

Professor Tony Blakely, June Atkinson, Dr Andrea McDonald, Dr George Disney, Dr Nhung Nghiem, Dr Giorgi Kvizhinadze, Dr Cristina Cleghorn, Dr Naomi Brewer, Dr Sheree Gibb, and Dr Barry Milne
University of Otago, Wellington
Contact: tony.blakely@otago.ac.nz

MAA2015-48 Work-relatedness in national health data

This project will be assessing diseases that have work as a contributing factor and identifying cases of such work related diseases in the national health datasets. Combining the health data in the IDI with data from IR, Census and ACC. Researchers will be looking at expanding the demographic variables to give indications of the diseases sufferer’s work history.

Will Bell, Michelle Poland, Nick Matsas, and Kirsten Lovelock
WorkSafe New Zealand
Contact: nick.matsas@worksafe.govt.nz

MAA2015-44 Towards a new index of rurality for exploring variations in health outcomes in New Zealand

This research proposal is aiming to create an alternative rurality index to the one currently in use today. The work centres on developing a health-rurality index which measures access to health services and other basic amenities, the proportion of natural (ie green) space, population density and demographics at a small area level, making it possible to detect geographical variations that would be hidden in larger areas. Researchers wish to provide an important tool for urban/rural health and social research, which will better inform clinicians and health policy makers.

Dr Jinfeng Zhao, Dr Daniel Exeter, Dr Arier Lee, and Michael Browne
University of Auckland
Contact: jinfeng.zhao@auckland.ac.nz

MAA2015-42 Impact of the MeNZB™ vaccine on gonorrhoea

This research proposal is taking a look at the effectiveness of the New Zealand developed MeNZB vaccine as this is reasonably different to the two other, more commonly used vaccines available internationally. The research will use a retrospective cohort design and the IDI to obtain vaccine effectiveness and will also look to summarise the rates of hospitalisation of patients with gonorrhoea who have been vaccinated versus those who have not.

Dr Janine Paynter
University of Auckland
Contact: j.paynter@auckland.ac.nz

MAA2015-41 Modelling the cost effectiveness of changes to income tax on obesity prevention perspective in New Zealand

This research proposal is aiming to assess the probable impacts of changes to the individual income tax on the obesity prevalence in New Zealand. The researcher will take a sample of income tax interventions and model the impact of the changes using the Household Economic Survey data.

Dr Stefanie Vandevijvere
University of Auckland
Contact: s.vandevijvere@auckland.ac.nz

MAA2015-22 Delivering a new measure of neighbourhood disadvantage for New Zealand

The research is aiming to develop a contemporary measure of area-level disadvantage for NZ. It will aim to be comparable to international indices and will be using admin data from several agencies in the IDI. The measure will then be tested against a number of health outcomes and will also aim to be a resource for monitoring health and social determinants in NZ. 

Dr Daniel Exeter, Dr Arier Lee, Michael Browne, Jinfeng Zhao and Sue Crengle. Formerly: Valmai Copeland
University of Auckland
Contact: d.exeter@auckland.ac.nz

MAA2014-22 The impacts of cancer, chronic disease, and acute health events on future employment, earnings, and benefit receipt among the working-age population

This project will investigate the impacts of chronic diseases and acute health events on future employment, earnings, benefit receipt, among the working-age population. The immediate, short and longer-term impacts will be examined, for example absences from work around the time of the event or diagnosis, time until return to work, and whether individuals are employed or receiving benefits in medium to longer-term. This research will be the first in New Zealand that we are aware of that will look at the impact of specific conditions and acute health events on future employment and earnings in the population aged 18–64 years.

Related links: 

Robert Templeton, Sarah Crichton, Sylvia Dixon and Sarah Tumen
Analytics and Insights, The Treasury
Contact: robert.templeton@treasury.govt.nz

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MAA2017-41 The social value of social housing provision

What is the social value generated by Housing New Zealand’s provision of social housing? This research will analyse the outcomes of Housing New Zealand tenants relative to vulnerable households who are private renters rather than social renters, in order to estimate the effect HNZ interventions have on tenant social outcomes. The specific social outcomes examined by this project are physical and mental health outcomes across time. The anticipated outcome is that HNZ tenants would experience better health outcomes across time relative to vulnerable households.

Caitlin Davies, Alicia Taylor
Housing New Zealand Corporation
Contact: caitlin.davies@hnzc.co.nz

MAA2017-36 Social housing upgrades effect on tenants’ health, safety, and social cohesion

It is expected that modern, well laid out, warmer, drier homes will have substantial benefits for tenants. This project will look at the impact on tenants’ physical and mental health, social wellbeing and safety from upgraded social housing. Wellington City Council is currently upgrading Arlington Apartments and this research will collect data from tenants before and after the upgrade. Those on the IDI database who identified as living in a Council flat in Wellington will be used as a control group, to compare findings over time in order to attribute causality.

Nevil Pierse, Oliver Robertson, Madeleine White
University of Otago
Contact: nevil.pierse@otago.ac.nz

MAA2016-28 Demand for housing services in Auckland

The project aims to study housing demand in Auckland according to the type of tenure (rental or purchase) and other key drivers based on sociodemographic and neighbourhood features.

Mario Fernandez
Auckland Council
Contact: mario.fernandez@aucklandcouncil.govt.nz

MAA2016-45 Porirua City housing needs analysis

The project aims to investigate the current and projected level of housing need and outcomes within Porirua City with a focus on Titahi Bay and Porirua East relative to the wider Wellington Housing Market. Consequently the project will examine a combination of people and place related outcomes. Understanding the nature and composition of households in need and how this is likely to change over time will empower Porirua City Council with the knowledge they require to engage with Central Government agencies to develop interventions and policy to drive better outcomes.

Outputs from IDI data will provide location specific tables summarising outcomes by tenure and various demographic characteristics the locations included in the study include Titahi Bay (3 area units combined) and Porirua East (7 area units combined ). The goal will be to use the summarised data from the study areas demonstrating their people and households characteristics relative to community wide outcomes (Porirua City and the greater Wellington housing market).

NB: Housing need is defined as renter households paying more than 30% of their household income in housing cost or has specific needs beyond affordability which limits their ability to cope within the private rental market.

Ian Mitchell
Livingston and Associates
Contact: ian.mitchell@livingstonassociates.co.nz

MAA2016-41 Exploring existing IDI data to inform housing quality policy

There is concern around both housing affordability and quality in NZ. The tier one statistics 2012 paper indicates that, amongst others, an official statistic for both housing quality and affordability should be developed, with MBIE as the lead agency. The housing affordability measure is progressing, and this project aims to progress the housing quality measure by exploring and describing relevant IDI datasets. We will use our findings to inform housing quality policy.

The research question to be investigated is, how can existing housing data inform housing quality policy? The main outcome for this project is better informed policy decisions from improved evidence provided by analysis of existing housing quality data.

Chris Barnett, James Kerr and Dan Harvey
Ministry of Business, Innovation and Employment
Contact: chris.barnett@mbie.govt.nz

MAA2016-34 Housing and macro prudential regulation

To understand the relationship between housing, macroeconomic fluctuations, and macroprudential regulation in New Zealand. We aim to investigate the links between housing fluctuations, and their implications for economic growth via consumption, investment, and incomes. A better understanding of the channels by which macroprudential policies targeting house prices affect the New Zealand economy. We are also interested in the distributional effects of macroprudential policy. We expect the research to lead to publication of a few peer-reviewed research papers.

Jonathan Chiu, Karam Shaar
Victoria University of Wellington
Contact: robertdkirkby@gmail.com

MAA2016-27 Social renting towards housing security and independence

The objective of the project is to increase the level of understanding and knowledge around the impact housing tenure has on the fiscal accounts of central government. Research will be identifying the level (incidence) of interaction with central government agencies people have, based on their housing tenure status.

Hugh Dixon, Konrad Hurren and Natalia Fareti
BERL Research Limited
Contact: hugh.dixon@berl.co.nz

MAA2016-14 Wellbeing valuation of social housing provision

The research project aims to see how the selected microdata can help Housing New Zealand investigate the social wellbeing that is generated by the services that HNZ provides. 

Caitlin Davies and Alicia Taylor
Housing New Zealand Corporation
Contact: alicia.taylor@hnzc.co.nz

MAA2016-06 The New Zealand rental sector: Who rents what, where and from whom?

This project is a three part investigation of the New Zealand rental sector. Part 1 is a report on the characteristics of New Zealand tenants by age, sex, ethnicity, income and household type. Part 2 looks to identify the various types of homes being provided to renters. The Last section will concentrate on investigating on the value to the New Zealand rental market of different categories of landlord. The aim of the entire project is to fill the gaps in the current knowledge of the NZ rental sector.

Dr Lucy Telfar Barnard
Ministry of Business, Innovation & Employment
Contact: lucy.telfar-barnard@otago.ac.nz

MAA2014-10 Measuring housing affordability in New Zealand as a Tier One statistic

This research explores the feasibility to produce a Tier One housing affordability measure by utilising relevant data in the IDI and HLFS, namely, household income, household rents, house sales prices and household demographic profile to form a subset of panel data.

Related links:

James Kerr and Julie Loke
Ministry of Business Innovation and Employment
Contact: james.kerr@mbie.govt.nz

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MAA2017-26 Impact on crime of formal removal from school and PB4L

The Ministry of Justice will lead a project to estimate the impact of two interventions on subsequent criminal offending. The interventions are formal removal from school (stand-down, suspension, exclusion, and expulsion) and Positive Behaviour for Learning (PB4L). This project will be supported by the Ministry of Education, Stats NZ and European Commission (EC) researchers.

The study will use data in the IDI to do a retrospective cohort study using explicit attribute matching, multi-level regression, or other analytical methods.

Gianluca Mazzarella, Corinna Ghirelli, Massimiliano Bratti, Stefano Verzillo, Elena Meroni, Claudio Deiana, Rory MacRae, Jo Fink, Natalie Horspool, Lynley Povey, Stephen Christie, Tim Hughes, Cindy Ko
Office of the Prime Minister's Chief Science Advisor, New Zealand
Contact: andrew.butcher@justice.govt.nz

MAA2015-36 Investment approach to justice

The project aims to: 

  • develop statistical models to predict future involvement in crime
  • develop a segmentation model based on risk of future involvement in crime
  • develop rich profiles of these segments using broader social data
  • evaluate the effectiveness of crime prevention investments, including any effect on broader social outcomes

Lynley Povey, Jo Fink, Rob Lynn, Natalie Horspool, Su-Wuen Ong, Tim Hughes, Stephen Christie, and Wayne Goodall. Formerly: Charles Sullivan
Ministry of Justice and Department of Corrections
Contact: tim.hughes@justice.govt.nz

MAA2015-26 Family and individual life-course research of victims, perpetrators and their families

The research focuses on how the burden and risk of victimisation and perpetration of all crime, and specifically family violence, is driven for known victims and offenders, and their families, in New Zealand.

Craig Wright and Jason Timmins
Contact: jason.timmins@superu.govt.nz

MAA2013-21 Victim demographics and overlaps with offenders

This research uses the IDI to improve our understanding of victim demographics and look at the relationship between victimisation and offending.

Simon Brown, Suzanne Jones, Jo Fink, and Charles Sullivan
Ministry of Justice

MAA2013-11 Associations between justice sector outcomes and other indicators

The research proposal uses Ministry of Justice and Department of Corrections data that is being linked into the Integrated Data Infrastructure (IDI) for the first time to build a socio-economic profile of people facing criminal charges. Using the IDI, the applicants believe a much richer profile can be built than is currently available.

Stephen Christie, Jo Fink, Lynley Povey, Natalie Horspool, James Nash, Ong Su-Wuen (Corrections). Formerly: Simon Brown
Ministry of Justice
Contact: stephen.christie@justice.govt.nz

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Travel and migration

MAA2016-67 Driver licensing and employment project

Holding a driver licence has important social and economic benefits. Independent mobility helps people to get to work and education, access goods and services, and connect with friends and family. The NZ Transport Agency and the Ministries of Social Development (MSD) and Business, Innovation and Employment (MBIE) have been collaboratively investigating barriers to accessing, and progressing through the Graduated Driver Licence System (GDLS). The agencies’ analyses found that barriers to the system most affect the young and vulnerable groups and their social, employment and economic opportunities. This, in turn, increases social, economic and government costs and increases safety risks to other road users.  

In July 2016, the Skilled and Safe Workplace Ministers’ (SSW) approved action to develop a coordinated cross-government approach to reduce barriers to accessing, or progressing through, the Graduated Driver Licence System (GDLS). Research using the IDI is expected to improve our understanding of population groups and regions less likely to obtain a driver licence, and allow us to examine the impact that participation in driver licensing programmes has on social outcomes.

Benjamin Vandenbroucke, Peter Salter, Marc de Boer, Bryan Ku, Karin Henshaw
Ministry of Social Development
Contact: karin.henshaw004@msd.govt.nz

MAA2016-38 The effect of immigration on New Zealand

The research project is looking at the factors that distinguish criminal offending by migrants in New Zealand. It is a part of a wider project to look at the effects of immigration on New Zealand, specifically the effects on labour markets, the housing market, productivity and other, broader social effects. The research will aim to put the question of migrant criminal offending into perspective. The results of this project will be presented for use in policy making to either help screen potential offenders, or to help prove the current system is working.

Eric Crampton and Rachel Hodder
The New Zealand Initiative 
Contact: rachel.hodder@nzinitiative.org.nz

MAA2016-24 Ōpōtiki strategic interventions - death and serious injury (DSI) data analysis

The Eastern Bay of Plenty has significantly higher rates of rural deaths and serious injury (DSI) crashes than the rest of the country for an extended period.  Some of the causes of the DSI rates appear to be behavioural in nature.  The relative poverty levels in the region also appear to be a contributor.  Some of the harms are potentially coming from the way the transport network is designed and configured.  In this project, we intend to investigate the potential linkages between the characteristics of Ōpōtiki and its disproportionally high DSI crash rate, in particular its social-economic status, through analysing data held by different agencies to gather insights about the likely DSI contributing factors as well as their inter-relationships. The outcomes of this project include one or more reports detailing the possible causes and factors for high DSI crash rates based on the observed data evidence, and a dashboard for visualising the results graphically and geographically to assist better future interventions.

Dr Lisa Chen, Shirley Wu, Ethan Li
New Zealand Transport Agency
Contact: shirley@harmonic.co.nz

MAA2015-30 Using microdata to estimate external migration at the subnational level

This project is a University of Waikato Summer Research Scholarship project co-funded by the University of Waikato and Statistics New Zealand.

Statistics NZ population estimates and projections at the subnational level require estimates of external migration for area units and Auckland local boards. Arrival and departure cards currently provide good data on migration at the territorial authority level, but not at geographical levels below this. There is therefore great interest in investigating sources of data containing more geographical detail.

Dr Michael Cameron and Dr Matthew Roskruge
The University of Waikato
Contact: mcam@waikato.ac.nz

MAA2015-23 Visiting drivers insights project

1.1.        This project is part of a joint piece of work by the Ministry of Transport, the New Zealand Transport Agency, and Statistics NZ to provide new insights that allow us to make assessments about the relative likelihood of visiting drivers being involved in a motor vehicle crash in New Zealand. This will enable interventions to be targeted at visiting drivers upon their arrival in New Zealand based on their likelihood of being involved in a crash. This project was instigated at the request of Minister Craig Foss.

1.2.        The aim of this specific piece of work is to link data from the NZTA’s Crash Analysis System (CAS), to Statistics NZ’s customs and passenger arrival data to answer specific questions about who is crashing. For example, if particular arrival times are more risky and the duration between passenger arrival and crashing.

Paul Phipps
New Zealand Transport Agency
Contact: w.jones@transport.govt.nz

MAA2012-15 How successful is New Zealand in retaining qualifcations?

This project examines the proportion of graduates leaving New Zealand after graduation. This will improve the government’s ability to monitor skill levels in New Zealand. The research looks at the overseas migration patterns of New Zealand’s tertiary graduates, including the rate at which expatriate graduates return to New Zealand. Future work will look at similar measures for participants in industry training.

Related links:

Tas Papadopoulos
Ministry of Business, Innovation, and Employment
Contact: tas.papadopoulos@mbie.govt.nz

MAA2012-15 Developing regular measures of immigrant outcomes using the IDI

The Ministry of Business, Innovation, and Employment currently monitors immigrant outcomes using survey and administrative data. The IDI will be used to supplement this with:

  • validation of outcomes information 
  • the extension of coverage to migrants not captured well by survey data

  • the inclusion of labour market measures of immigrants.

Related links:

Paul Merwood
Ministry of Business, Innovation, and Employment (Migration Research, Evaluation and Analysis)
Contact: paul.merwood@mbie.govt.nz

MAA2012-15 IDI Migration Research Programme

MBIE’s IDI Migration research work programme will involve establishing monitoring and reporting processes, undertaking research into migrants’ participation in and impact on the labour market, and policy-focused monitoring and evaluation. Some projects will focus on specific groups of interest including permanent residents, international students, and temporary workers, or migrants granted visas under specific immigration policies.

Keith McLeod
Ministry of Business, Innovation and Employment
Contact: keith.mcleod@mbie.govt.nz

MAA2011-04 The effect of immigration on the labour market

This research provides new insights into the impact of immigration on the New Zealand labour market. This includes identifying the extent to which different population groups, industries, and/or regions are affected by immigration. In particular, it provides information on:

  • the location and industry of employment for migrants and the wider population 
  • trends over time for different migrant cohorts 
  • estimated impacts of immigration on the New Zealand labour market.

Keith McLeod
Ministry of Business, Innovation, and Employment (Migration Research, Evaluation, and Analysis)
Contact: keith.mcleod@mbie.govt.nz

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Page updated 6 October 2017

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