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

Author

Listed:
  • Watson Nicole

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

  • 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

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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)

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    Keywords

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    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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