Professor Rhema Vaithianathan

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Professor

Email: rhema.vaithianathan@aut.ac.nz

ORCID: ORCID logo https://orcid.org/0000-0002-8899-5254

Links to relevant web pages:

Academic appointments:

  • Professor, Auckland University of Technology, Auckland (2013 - ongoing)
  • Director, Cetnre for Social Data Analytics (2019 - ongoing)
  • Co-Director, Auckland University of Technology, Auckland (2016 - 2019)
  • Senior Research Fellow, Singapore Management University, Singapore (2014 - ongoing)

Qualifications:

  • PhD Economics, University of Auckland, Auckland
  • MCom Economics, University of Auckland, Auckland
  • BCom Economics, University of Auckland, Auckland

Overview:

Rhema Vaithianathan is a Professor of Health Economics and Director of the Centre for Social Data Analytics (CSDA), a translational research centre located in the School of Social Sciences and Public Policy at AUT. She is also a Professor of Social Data Analytics at the Institute for Social Science Research at The University of Queensland (Australia), where she leads a second CSDA node.

Rhema is recognised internationally for her work using data science for social good, and the implementation of machine learning tools in high stakes government systems such as child protection. She leads the international research team that developed, and continues to refine two active child protection predictive risk modelling tools: the Allegheny Family Screening Tool (Allegheny County, PA) and the Douglas County Decision Aide (Douglas County, CO). Additionally, she has developed a tool to assess homelessness in Allegheny County, aiding in prioritizing bed allocation within temporary housing.

Rhema is currently leading the development of several new machine learning tools that will help Australian and US jurisdictions better address challenges they face in domains including health, education, housing, elder abuse and child protection.

Rhema has held research positions in Australia, Singapore and the United States, including a Harkness Fellowship at Harvard University. She gained her PhD from the University of Auckland (NZ) in 2000.

Research interests:

Rhema’s research interests include: Applying economic theory to health care funding, policy research focused on understanding and improving the way health and human services work (including work on indigenous health and disparities) and predictive analytics and predictive risk modelling research focused on the methodologies, implementation and implications of predictive risk modelling in health and social services settings. Predictive risk modelling has been Rhema’s main research focus since 2014, including a number of translational projects in the United States. Rhema's research areas of interest include: predictive risk modelling, health services and health economics

Teaching summary:

Rhema is a Professor in the School of Economics at AUT She has taught in the field of Health Economics under AUT's faculty of Business, Economics and Law.

Fields of research:

  • Applied Economics
  • Health Economics
  • Welfare Economics

Professional activities:

Appointment, affiliation, and membership

  • Director, Centre for Social Data Analytics (2016 - ongoing)
  • Co-Director, Centre for Social Data Analytics (2016)
  • Government appointment to the Data Futures Partnership Working Group, New Zealand Government (2015 - ongoing)

Award, prize, fellowship, and scholarship

  • Honourable Mention Award, Conference on Human Factors in Computing Systems (2019)
  • “Best Paper” award at Fairness Conference, Fairness, Accountability and Transparency conference 2018 (2018)
  • AUT Vice Chancellor’s Award for Research Excellence: Individual Research Excellence, Auckland University of Technology (2018)
  • AUT Faculty of Business, Economics and Law: Excellence in Engaged Research Award, Auckland University of Technology (2018)

Editorship, reviewing, examining, and judging

  • : Reviewer, Health Economics, Policy and Law, Health Economics, Policy and Law (2017)
  • Reviewer, BE Journal of Economic Analysis and Policy, BE Journal of Economic Analysis and Policy (2017)

Facilitation, networking and collaboration

  • Panellist in Douglas Country Predictive Risk Modelling webinar, Douglas Country, US (2020 - ongoing)
  • Panellist in Mathematica Policy Research webinar, Using Data to Identify Changes in Child Welfare Referrals and Screening in the Era of COVID-19 (2020 - ongoing)
  • Panellist in CEDA discussion, “Does disruptive technology require disruptive regulation", Committee for Economic Development of Australia (CEDA) (2020 - ongoing)
  • Co-Leader of Plenary Discussion for National Children’s Alliance Leadership Conference, National Children’s Alliance Leadership Conference in Washington DC (2020 - ongoing)
  • Seminar Panellist for the Global Partnership to End Violence Against Children, the Global Partnership to End Violence Against Children in New York City (2019 - ongoing)
  • Member of plenary panel, Field Center for Children’s Policy, Practice and Research, Pennsylvania. (2019 - ongoing)
  • Panellist at the International Conference of Data Protection and Privacy Commissioners, 2017 International Conference of Data Protection and Privacy Commissioners (2017)
  • Panellist for Bloomberg Data for Good Exchange, “Fairness-Aware Predictive Analytics in Child Protective Services: Development, Validation and Imple (2017 - ongoing)
  • Panellist at the London Data for Policy Conference, 2017 London Data for Policy Conference (2017 - ongoing)

Other professional recognition

  • Taught Health Economics paper, Auckland University of Technology (2017 - 2019)
  • Organised and hosted the Maori Health and Social Services Cluster Health Economic Workshop, Commissioned by Callaghan Innovation (2016 - ongoing)
  • Presentation of Teen Parent Unit research to professional bodies, (2016 - 2017)
  • Collaboration with Centre For Social Data Analytics, (2016 - 2017)
  • Organised and hosted a conference on the use of integrated data: Using Integrated Data for Social Sector Policy and Practice, (2016)

Outreach and engagement

  • Speaker at an internal webinar for Oranga Tamariki (2020)
  • Speaker at online University of Queensland workshop, 'Ethical Data Science for Social Impact' (2020)
  • Pre sentation of research on teen parent units to the Association of Teen Parent Educators NZ (2020)
  • Speaker at MIT webinar (2020)
  • Speaker at Social Impact Session at the KDD 2020 Virtual Conference (2020)
  • Speaker at University of Queensland's Virtual Workshop and Research Showcase "Digitisation, Automation and Society" (2020)
  • Speaker at ICML Social Conference (2020)
  • Speaker at AEI seminar, 'Big data, little kids: How technology is changing child welfare' (2020)
  • Round table: "The ethics of contact tracing apps: International perspectives" (2020)
  • Speaker at Children’s Health Queensland - Health Services Research Workshop in Brisbane (2019)
  • Speaker in seminar at the Rockwool Foundation, Copenhagen (2019)
  • presented the 2019 John Western Public Lecture: Data analytics in the public sector – the tortoise or the hare? (2019)
  • Presented at the Data for Good Exchange at Bloomberg, New York. (2019)
  • Speaker at ITEE Research Seminar (2019)
  • Keynote speaker at IZA Workshop on Gender and Family Economics (2019)
  • Speaker at Adolfo Ibáñez University (2019)
  • Speaker and workshop facilitator at Alan Turing Institute (2018)
  • Speaker at the American Public Human Services Association National Health and Human Services Summit (2018)
  • Speaker at Casey Family Programs Child Safety Convening in Arizona (2018)
  • Keynote speaker at Adolfo Ibáñez University (UAI) in Santiago, Chile (2018)
  • Hosted Centre for Social Data Analytics roundtable on “Measuring Childhood Risk and Resilience for Policy Impact” (2018)
  • Workshop facilitator for “Applied Economics Papers on Child and Youth Outcomes” (2018)
  • Spaeker at the MetroLab Network Annual Summit (2017)
  • Speaker at Developing Excellence in Medical Education Conference (2017)
  • Speaker at Refactor seminar (2017)
  • Media coverage of research (2015)
  • Allegheny Family Screening Tool (2014)

Invitation to present research

  • NZSA & ORSNZ Conference, Auckland (2016)
  • University Research Offices of New Zealand (URONZ) conference, Auckland (2016)

Research outputs:

Journal articles

  • Willing, E., Paine, S. J., Wyeth, E., Te Ao, B., Vaithianathan, R., & Reid, P. (2020). Indigenous voices on measuring and valuing health states. AlterNative, 16(1), 3-9. doi:10.1177/1177180119885418

  • Walsh, M. C., Joyce, S., Maloney, T., & Vaithianathan, R. (2020). Exploring the protective factors of children and families identified at highest risk of adverse childhood experiences by a predictive risk model: An analysis of the growing up in New Zealand cohort. Children and Youth Services Review, 108. doi:10.1016/j.childyouth.2019.104556

  • Vaithianathan, R., Putnam-Hornstein, E., Chouldechova, A., Benavides-Prado, D., & Berger, R. (2020). Hospital injury encounters of children identified by a predictive risk model for screening child maltreatment referrals: Evidence from the Allegheny Family screening tool. JAMA Pediatrics. doi:10.1001/jamapediatrics.2020.2770

  • Cheng, T. C., Li, J., & Vaithianathan, R. (2019). Monthly spending dynamics of the elderly following a health shock: Evidence from Singapore. Health Economics, 28(1), 23-43. doi:10.1002/hec.3824

  • Walsh, M., Joyce, S., Maloney, T., & Vaithianathan, R. (2019). Adverse childhood experiences and school readiness outcomes: Results from The Growing Up in New Zealand study. The New Zealand medical journal, 132(1493), 15-24. doi:10.1177/1028315319835539

  • Rouland, B., Vaithianathan, R., Wilson, D., & Putnam-Hornstein, E. (2019). Ethnic disparities in childhood prevalence of maltreatment: Evidence from a New Zealand birth cohort. American Journal of Public Health, 109(9), 1255-1257. doi:10.2105/AJPH.2019.305163

  • Vaithianathan, R., Hool, B., Hurd, M. D., & Rohwedder, S. (2018). High-Frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel®. Singapore Economic Review. doi:10.1142/S0217590818420043

  • Reid, P., Paine, S. -J., Te Ao, B., Willing, E., Wyeth, E., & Vaithianathan, R. (2018). Estimating the economic costs of ethnic health inequities: Protocol for a prevalence-based cost-of-illness study in New Zealand (2003-2014). BMJ Open, 8(e020763). doi:10.1136/bmjopen-2017-020763

  • Rouland, B., & Vaithianathan, R. (2018). Cumulative prevalence of maltreatment among New Zealand children, 1998-2015. American Journal of Public Health, 108(4). doi:10.2105/AJPH.2017.304258

  • Vaithianathan, R., Rouland, B., & Putnam-Hornstein, E. (2018). Injury and mortality among children identified as at high risk of maltreatment. Pediatrics, 141(2). doi:10.1542/peds.2017-2882

  • Maloney, T., Jiang, N., Putnam-Hornstein, E., Dalton, E., & Vaithianathan, R. (2017). Black–white differences in child maltreatment reports and foster care placements: A statistical decomposition using linked administrative data. Maternal and Child Health Journal, 21(3). doi:10.1007/s10995-016-2242-3

  • Cuccaro-Alamin, S., Foust, R., Vaithianathan, R., & Putnam-Hornstein, E. (2017). Risk assessment and decision making in child protective services: Predictive risk modeling in context. Children and Youth Services Review, 79. doi:10.1016/j.childyouth.2017.06.027

  • Jiang, N., & Vaithianathan, R. (2016). Childhood Stunting, Wasting and Obesity in Indonesia: Evidence from the Indonesian family life survey. Value in Health, 19(7). doi:10.1016/j.jval.2016.08.316

  • Rigotti, L., Ryan, M., & Vaithianathan, R. (2016). Throwing good money after bad. Decisions in Economics and Finance, 39(2). doi:10.1007/s10203-016-0183-3

  • Linthicum, M. T., Thornton Snider, J., Vaithianathan, R., Wu, Y., LaVallee, C., Lakdawalla, D. N., . . . Philipson, T. J. (2015). Economic burden of disease-associated malnutrition in China. Asia-Pacific Journal of Public Health, 27(4). doi:10.1177/1010539514552702

  • Ryan, M., & Vaithianathan, R. (2015). The regulation of direct-to-consumer advertising of pharmaceuticals in a managed care setting. Journal of Public Economic Theory, 17(6). doi:10.1111/jpet.12129

  • Dare, T., Vaithianathan, R., & De Haan, I. (2014). Addressing child maltreatment in New Zealand: Is poverty reduction enough?. Educational Philosophy and Theory, 46(9). doi:10.1080/00131857.2014.938450

  • Lewis, G., Vaithianathan, R., Wright, L., Brice, M. R., Lovell, P., Rankin, S., & Bardsley, M. (2013). Integrating care for high-risk patients in England using the virtual ward model: Lessons in the process of care integration from three case sites. International Journal of Integrated Care, 13. Retrieved from http://www.ijic.org/

  • Vaithianathan, R., Maloney, T., Putnam-Hornstein, E., & Jiang, N. (2013). Children in the public benefit system at risk of maltreatment: Identification via predictive modeling. American Journal of Preventive Medicine, 45(3). doi:10.1016/j.amepre.2013.04.022

  • Lewis, G., Kirkham, H., Duncan, I., & Vaithianathan, R. (2013). How health systems could avert 'triple fail' events that are harmful, are costly, and result in poor patient satisfaction. Health Affairs, 32(4). doi:10.1377/hlthaff.2012.1350

  • Mills, C., Reid, P., & Vaithianathan, R. (2012). The cost of child health inequalities in Aotearoa New Zealand: A preliminary scoping study. BMC Public Health, 12(384). doi:10.1186/1471-2458-12-384

  • Lewis, G., Wright, L., & Vaithianathan, R. (2012). Multidisciplinary case management for patients at high risk of hospitalization: Comparison of virtual ward models in the United Kingdom, United States, and Canada. Population Health Management, 15(5). doi:10.1089/pop.2011.0086

  • Gilbert, A., Hockey, P., Vaithianathan, R., Curzen, N., & Lees, P. (2012). Perceptions of junior doctors in the NHS about their training: Results of a regional questionnaire. BMJ Quality and Safety, 21. doi:10.1136/bmjqs-2011-000611

  • Dale, M. C., Feng, F., & Vaithianathan, R. (2012). Microfinance in developed economies: A case study of the NILS programme in Australia and New Zealand. New Zealand Economic Papers, 46(3). doi:10.1080/00779954.2012.687543

  • Gørgens, T., Meng, X., & Vaithianathan, R. (2012). Stunting and selection effects of famine: A case study of the Great Chinese Famine. Journal of Development Economics, 97(1). doi:10.1016/j.jdeveco.2010.12.005

  • Vaithianathan, R., Hockey, P., Lewis, G., & Lees, P. (2011). Recruit with caution, manage with care. British Journal of Healthcare Management, 17(12).

  • Ryan, M., & Vaithianathan, R. (2011). Verifiability and neologism-proofness in a Sender-Receiver game. Journal of Economic Behavior and Organization, 79(3). doi:10.1016/j.jebo.2011.01.033

  • Lewis, G., Bardsley, M., Vaithianathan, R., Steventon, A., Georghiou, T., Billings, J., & Dixon, J. (2011). Do 'virtual wards' reduce rates of unplanned hospital admissions, and at what cost? A research protocol using propensity matched controls.. International Journal of Integrated Care, 11. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/21949489

  • Lewis, G. H., Vaithianathan, R., Hockey, P. M., Hirst, G., & Bagian, J. P. (2011). Counterheroism, common knowledge, and ergonomics: Concepts from aviation that could improve patient safety. The Milbank Quarterly, 89(1). doi:10.1111/j.1468-0009.2011.00623.x

  • Panattoni, L. E., Vaithianathan, R., Ashton, T., & Lewis, G. H. (2011). Predictive risk modelling in health: Options for New Zealand and Australia. Australian Health Review, 35(1). doi:10.1071/AH09845

  • Rigotti, L., Ryan, M., & Vaithianathan, R. (2011). Optimism and firm formation. Economic Theory, 46(1). doi:10.1007/s00199-009-0501-x

  • Vaithianathan, R., & Lewis, G. (2010). The NHS as an insurer. Journal of Health Services Research and Policy, 15(3), 171-173. doi:10.1258/jhsrp.2009.009024

  • Vaithianathan, R. (2010). Building on myths: an economist's response to the Ministerial Review Group Report on the health system.. The New Zealand medical journal, 123(1314), 79-83.

  • Vaithianathan, R. (2010). Building on myths: An economist's response to the ministerial review group report on the health system. New Zealand Medical Journal, 123(1314), 71-78.

  • Aoki, R., & Vaithianathan, R. (2010). Political Economy of Low Fertility and Intergenerational Income Distribution. Economic Review, 61(2), 117-125.

  • Chesnokova, T., & Vaithianathan, R. (2010). The economics of female genital cutting. B.E. Journal of Economic Analysis and Policy, 10(1). doi:10.2202/1935-1682.2565

  • Vaithianathan, R. (2009). AN ECONOMIC CRITIQUE OF URBAN MOTORWAYS: THE CASE OF THE WATERVIEW CONNECTION IN AUCKLAND. ROAD & TRANSPORT RESEARCH, 18(3), 78-82. Retrieved from http://gateway.webofknowledge.com/

  • Vaithianathan, R., Hockey, P. M., Moore, T. J., & Bates, D. W. (2009). Iatrogenic effects of COX-2 inhibitors in the US population: Findings from the medical expenditure panel survey. Drug Safety, 32(4), 335-343. doi:10.2165/00002018-200932040-00007

  • Vaithianathan, R., & Lewis, G. (2008). Operational independence for the NHS. BMJ, 337(7666), 380-382.

  • Vaithianathan, R., & Lewis, G. (2008). Operational independence for the NHS.. BMJ (Clinical research ed.), 337. doi:10.1136/bmj.a497

  • Chesnokova, T., & Vaithianathan, R. (2008). Lucky last? Intra-sibling allocation of child labor. B.E. Journal of Economic Analysis and Policy, 8(1). doi:10.2202/1935-1682.1908

  • Vaithianathan, R. (2006). Health insurance and imperfect competition in the health care market. Journal of Health Economics, 25(6), 1193-1202. doi:10.1016/j.jhealeco.2006.03.003

  • Vaithianathan, R. (2006). Better the devil you know than the doctor you don't: Is advertising drugs to doctors more harmful than advertising to patients?. Journal of Health Services Research and Policy, 11(4), 235-239. doi:10.1258/135581906778476616

  • Vaithianathan, R. (2004). A critique of the private health insurance regulations. Australian Economic Review, 37(3), 257-270. doi:10.1111/j.1467-8462.2004.00328.x

  • Ryan, M. J., & Vaithianathan, R. (2003). Medical insurance with rank-dependent utility. Economic Theory, 22(3), 689-698. doi:10.1007/s00199-002-0336-1

  • Vaithianathan, R. (2003). Supply-side cost sharing when patients and doctors collude. Journal of Health Economics, 22(5), 763-780. doi:10.1016/S0167-6296(03)00026-2

  • Ryan, M. J., & Vaithianathan, R. (2003). Adverse selection and insurance contracting: A rank-dependent utility analysis. Contributions to Theoretical Economics, 3(1). doi:10.2202/1534-5971.1074

  • Vaithianathan, R. (2002). Will subsidising private health insurance help the public health system?. Economic Record, 78(242), 277-283. doi:10.1111/1475-4932.00057

  • Vaithianathan, R. (1999). The Failure of Corporatisation: Public Hospitals in New Zealand. Agenda - A Journal of Policy Analysis and Reform, 6(4), 325-338.

Conference contributions

  • Brown, A., Chouldechova, A., Putnam-Hornstein, E., Tobin, A., & Vaithianathan, R. (2019). Toward algorithmic accountability in public services: A qualitative study of affected community perspectives on algorithmic decision-making in child welfare services. In CHI '19 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Vol. 41 (pp. 1-12). Glasgow. doi:10.1145/3290605.3300271

  • Brown, A., Chouldechova, A., Putnam-Hornstein, E., Tobin, A., & Vaithianathan, R. (2019). Toward algorithmic accountability in public services: A qualitative study of affected community perspectives on algorithmic decision-making in child welfare services.. In S. A. Brewster, G. Fitzpatrick, A. L. Cox, & V. Kostakos (Eds.), CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 41). Glasgow: ACM. Retrieved from https://doi.org/10.1145/3290605

  • Chouldechova, A., Putnam-Hornstein, E., Benavides Prado, D., Fialko, O., & Vaithianathan, R. (2018). A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions. In Proceedings of Machine Learning Research Vol. 81. .

  • Vaithianathan, R., Maloney, T. J., Wilson, M., & Baird, S. (2017). Impact of targeted home visiting programs on child mortality and maltreatment: Quasi-experimental evaluation using administrative data. In New Zealand Association of Economists Annual Conference. Wellington. Retrieved from https://www.nzae.org.nz/events/nzae-conference-2017/

  • Maloney, T., Vaithianathan, R., Wilson, M., Staneva, A., & Jiang, N. (2017). Impact of school-based support on educational outcomes of teen mothers: Evidence from New Zealand's "Teen Parent Units". In 58th New Zealand Association of Economists Annual Conference. Wellington. Retrieved from https://www.nzae.org.nz/events/nzae-conference-2017/

  • Jiang, N., & Vaithianathan, R. (2016). Childhood stunting, wasting and obesity in Indonesia: Evidence from the Indonesian family life survey. In Value in Health Vol. 19 (pp. A881). Singapore: Elsevier. doi:10.1016/j.jval.2016.08.316

  • Jiang, N., Vaithianathan, R., & Ashton, T. (2011). A Model for Predicting Readmission Risk in New Zealand. In Melbourne Institute Seminar. Melbourne. Retrieved from http://www.melbourneinstitute.com/miaesr/events/seminars/seminar_2011.html

Scholarly editions/literary translations

Reports

  • Vaithianathan, R., Putnam-Hornstein, E., & Benavides-Prado, D. (2020). Implementing the Hello Baby Prevention Program in Allegheny County: Methodology report. Auckland, New Zealand. Retrieved from https://csda.aut.ac.nz/

  • Vaithianathan, R., Dinh, H., Kalisher, A., Kithulgoda, C. I., Kulick, E., Mayur, M., . . . Prado, D. B. (2019). Implementing a Child Welfare Decision Aide in Douglas County. Auckland, New Zealand. Retrieved from https://csda.aut.ac.nz/

  • Dinh, H., Kalisher, A., Kithulgoda, C., Kulick, E., Mayur, M., Ning, A., . . . Putnam-Hornstein, E. (2019). Implementing a child welfare decision aide in Douglas County: Methodology report (AUTEC IRB #17/84). Retrieved from https://csda.aut.ac.nz/

  • Vaithianathan, R., Putnam-Hornstein, E., Stragner, M., & Weigensberg, E. (2019). Predictive risk modeling for child protection. Auckland, New Zealand. Retrieved from https://csda.aut.ac.nz/

  • Maloney, T., Vaithianathan, R., Wilson, M., & Baird, S. (2017). Māori Outcomes from Family Start. Wellington, New Zealand.

  • Vaithianathan, R. (2017). A Path to Social Licence: Guidelines for Trusted Data Use.

  • Maloney, T., Vaithianathan, R., Wilson, M., Staneva, A., & Jiang, N. (2017). Impact of school-based support on educational outcomes of teen-mothers: Evidence from linked administrative data. Centre for Social Data Analytics, Auckland University of Technology, Auckland, New Zealand.

  • Vaithianathan, R., Maloney, T. J., Wilson, M., & Joyce, S. (2017). Family start impact study: Selected extensions. Wellington, NZ: Ministry of Social Development. Retrieved from https://www.msd.govt.nz/

  • Vaithianathan, R. (2017). Developing Predictive Risk Models to Support Child Maltreatment Hotline Screening Decisions. Retrieved from https://www.msd.govt.nz/

  • Vaithianathan, R., Putnam-Hornstein, E., de Hann, I., Bitler, M., Maloney, T. J., & Jiang, N. (2017). Using predictive modelling to improve outcomes: For children in Allegheny County. Allegheny County, PA USA: Child Welfare Department. Retrieved from https://nawrs.org/

  • Vaithianathan, R., Maloney, T. J., Wilson, M., & Joyce, S. (2017). Family start impact study: Selected extensions. Wellington, New Zealand: Ministry of Social Development. Retrieved from http://www.msd.govt.nz/

  • Vaithianathan, R., Maloney, T., Wilson, M., Staneva, A., & Jiang, N. A. N. (2017). Impacts of School-Based Support On Educational Outcomes of Teen-Mothers: Evidence from New Zealand’s “Teen Parent Units”. Retrieved from https://www.msd.govt.nz/

  • Vaithianathan, R., Wilson, M., Maloney, T., & Baird, S. (2016). The impact of the family start home visiting programme on outcomes for mothers and children: A quasi-experimental study. Ministry of Social Development. Wellington. Retrieved from http://www.msd.govt.nz/

Oral presentations

  • Maloney, T. J., Vaithianathan, R., Wilson, M., Stenva, A., & Jiang, N. (2017). Impact of school-based support on educational outcomes of teen mothers in New Zealand. Auckland, NZ. Retrieved from https://csda.aut.ac.nz/news/events

  • Ryan, M., Rigotti, L., & Vaithianathan, R. (2016). Throwing Good Money after Bad. Palmerston North.

  • Ryan, M., Vaithianathan, R., & Rigotti, L. (2014). Throwing good money after bad. Tokyo.

  • Ryan, M., Vaithianathan, R., & Rigotti, L. (2012). Ambiguity Aversion, Innovation and Investment Bubbles. Dunedin.

Working paper/discussions

  • Vaithianathan, R., Ryan, M., Anchugina, N., Selvey, L., Dare, T., & Brown, A. (2020). Digital contact tracing for COVID-19: A primer for policymakers. Retrieved from https://csda.aut.ac.nz/__data/assets/pdf_file/0009/382743/PolicyPrimerFINAL.pdf

  • Jiang, N., Maloney, T., Staneva, A., Wilson, M., & Vaithianathan, R. (2018). The impact of Social Workers in Schools: A preliminary investigation using linked administrative data. Ministry of Social Development; Auckland University of Technology. Retrieved from https://www.orangatamariki.govt.nz/

  • Vaithianathan, R., Maloney, T. J., Wilson, M., Staneva, A., & Jiang, N. (2017). Impact of school-based support on educational outcomes of teen-mothers: Evidence from New Zealand's "teen parent units". Ministry of Social Development. Retrieved from https://www.msd.govt.nz/

  • Vaithianathan, R., Wilson, M., Maloney, T. J., & Baird, S. (2016). The impact of the family start home visiting programme on outcomes for mothers and children: A quasi-experimental study. Ministry of Social Development.

  • Vaithianathan, R., Aoki, R., & Sbai, E. (2013). Support for franchise extension for children: Evidence on Japanese attitude to demeny voting. Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University. Retrieved from https://ideas.repec.org/p/hit/cisdps/610.html

Other outputs

  • Maloney, T. J., Jiang, N., Staneva, A., Wilson, M., & Vaithianathan, R. (2017). Impact of a Social Workers in School Program: Evidence from Linked Administrative Data. School of Economics, AUT.

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