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The Household, Income and Labour Dynamics in Australia (HILDA) Survey

Author

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  • Watson Nicole
  • Wooden Mark

    (Melbourne Institute of Applied Economic and Research, University of Melbourne, Melbourne, Australia)

Abstract

This paper provides a brief summary of the Household, Income and Labour Dynamics in Australia (HILDA) Survey, a nationally representative household panel survey. It describes the survey’s key design features, provides an overview of its content, and reports on response rates and sample sizes. It also highlights a few examples of research utilising the data, discusses two challenges currently facing the study, and provides details on how to access the data.

Suggested Citation

  • Watson Nicole & Wooden Mark, 2021. "The Household, Income and Labour Dynamics in Australia (HILDA) Survey," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(1), pages 131-141, February.
    • Handle: RePEc:jns:jbstat:v:241:y:2021:i:1:p:131-141:n:6
    DOI: 10.1515/jbnst-2020-0029
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    References listed on IDEAS

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    1. Buddelmeyer, Hielke & Hamermesh, Daniel S. & Wooden, Mark, 2018. "THE stress cost of children on moms and dads," European Economic Review, Elsevier, vol. 109(C), pages 148-161.
    2. Chelsea Murray & Robert Graham Clark & Silvia Mendolia & Peter Siminski, 2018. "Direct Measures of Intergenerational Income Mobility for Australia," The Economic Record, The Economic Society of Australia, vol. 94(307), pages 445-468, December.
    3. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    4. Mark Wooden, 2013. "The Measurement of Cognitive Ability in Wave 12 of the HILDA Survey," Melbourne Institute Working Paper Series wp2013n44, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    5. Stefanie Schurer & Michael A. Shields & Andrew M. Jones, 2014. "Socio-economic inequalities in bodily pain over the life cycle: longitudinal evidence from Australia, Britain and Germany," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(4), pages 783-806, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Wooden, Mark & Trinh, Trong-Anh & Mooi-Reci, Irma, 2021. "The Differential Impacts of Contingent Employment on Fertility: Evidence from Australia," IZA Discussion Papers 14850, Institute of Labor Economics (IZA).
    2. Jennifer Ervin & Yamna Taouk & Belinda Hewitt & Tania King, 2023. "Trajectories of Unpaid Labour and the Probability of Employment Precarity and Labour Force Detachment Among Prime Working-Age Australian Women," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 1033-1056, October.
    3. Joachim Wagner, 2022. "The first 50 contributions to the Data Observer Series – An overview," Working Paper Series in Economics 412, University of Lüneburg, Institute of Economics.
    4. Nicole Black & Lachlan Deer & David W. Johnston & Johannes S. Kunz, 2023. "Are You Okay? Effects of a National Peer-Support Campaign on Mental Health," Papers 2023-08, Centre for Health Economics, Monash University.
    5. Rachel Ong & Gavin A Wood & Melek Cigdem, 2022. "Housing wealth, mortgages and Australians’ labour force participation in later life," Urban Studies, Urban Studies Journal Limited, vol. 59(4), pages 810-833, March.
    6. Inga Laß & Esperanza Vera-Toscano & Mark Wooden, 2023. "Working from home, COVID-19 and job satisfaction," Melbourne Institute Working Paper Series wp2023n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Lenzen, Sabrina & Birch, Stephen, 2023. "From population numbers to population needs: Incorporating epidemiological change into health service planning in Australia," Social Science & Medicine, Elsevier, vol. 328(C).
    8. Nejad, Maryam Naghsh & Schurer, Stefanie, 2022. "Cognitive and non-cognitive abilities of immigrants: New perspectives on migrant quality from a selective immigration country," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 107-124.
    9. Joachim Wagner, 2022. "The first 50 contriutions to the Data Observer Series - An Overview," RatSWD Working Papers 279, German Data Forum (RatSWD).
    10. Cosima Obst, 2022. "Job Satisfaction and Training Investments," CEPA Discussion Papers 47, Center for Economic Policy Analysis.
    11. Mooi-Reci, Irma & Trinh, Trong-Anh & Vera-Toscano, Esperanza & Wooden, Mark, 2023. "The impact of lockdowns during the COVID-19 pandemic on fertility intentions," Economics & Human Biology, Elsevier, vol. 48(C).
    12. Macchia, Lucía & Daly, Michael & Delaney, Liam, 2023. "The effect of adverse employment circumstances on physical pain: evidence from Australian panel data," LSE Research Online Documents on Economics 119712, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    Australia; HILDA Survey; household panel surveys; longitudinal data;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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