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Finding Your Way Around the HILDA Survey Data

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  • Nicole Watson

Abstract

The Household, Income and Labour Dynamics in Australia (HILDA) Survey data is a valuable resource for researchers and policy makers. The HILDA Survey is a nationally representative household panel study with 20 waves of data collected between 2001 and 2020. This article helps researchers new to the HILDA Survey gain an understanding of the survey, the data and its documentation.

Suggested Citation

  • Nicole Watson, 2021. "Finding Your Way Around the HILDA Survey Data," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 554-564, December.
    • Handle: RePEc:bla:ausecr:v:54:y:2021:i:4:p:554-564
    DOI: 10.1111/1467-8462.12437
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    Cited by:

    1. Anushiya Vijayasivajie & Pundarik Mukhopadhaya & Chris Heaton, 2025. "Inequality of Opportunity in Body Mass: Evidence From Australia," Health Economics, John Wiley & Sons, Ltd., vol. 34(7), pages 1365-1381, July.
    2. Md Ehsanul Haque Tamal & Kamrul Hassan & Dominic Gasbarro & Khurshid Alam, 2026. "The economic burden of mental health deterioration on Australian households: a longitudinal analysis of out-of-pocket healthcare expenditures," Health Economics Review, Springer, vol. 16(1), pages 1-16, December.
    3. Syed Afroz Keramat & Tracy Comans & Alison Pearce & Rabeya Basri & Rubayyat Hashmi & Nadeeka N. Dissanayaka, 2025. "Psychological distress and productivity loss: a longitudinal analysis of Australian working adults," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(8), pages 1503-1524, November.
    4. Rezwanul Rana & Syed Afroz Keramat & Henry Cutler & Tracy Comans, 2026. "Informal Caregiving for Elderly or Disabled in the Families and Caregivers’ Subjective, Affective, and Financial Well-Being: Findings from Fifteen Waves of an Australian Population-Based Panel Study," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 21(2), pages 659-694, April.
    5. Guowei Tian & Vasileios Zikos, 2026. "Personality, Adversity, and Life Satisfaction Among Older Adults," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 181(2), pages 1-34, January.
    6. Lazzari, Ester & Reimondos, Anna & Gray, Edith, 2022. "Childbearing desires before and after the Covid-19 outbreak in Australia: Who changed their attitudes toward having a first or additional child?," SocArXiv qbgmp, Center for Open Science.
    7. Kristoffersen, Ingebjørg & Hoang, Dan & Li, Ian W., 2024. "Understanding the mental health-based poverty trap: Dynamics in psychological distress and financial precariousness, and the role of self-efficacy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 111(C).
    8. Nicole Black & David W. Johnston & Martin Knapp & Michael A. Shields & Gloria H. Y. Wong, 2025. "Horizontal inequity in the use of mental healthcare in Australia," Health Economics, John Wiley & Sons, Ltd., vol. 34(2), pages 297-315, February.
    9. Syed Afroz Keramat & Prianka Maria Sarker & Tracy Comans & Deborah Brooks & Nadeeka N. Dissanayaka, 2025. "Deterioration of health-related quality of life: the hidden health burden of informal caregiving," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(8), pages 1415-1438, November.
    10. Haque, Rezwanul & Alam, Khorshed & Gow, Jeff & Neville, Christine & Keramat, Syed Afroz, 2024. "Socio-economic inequalities in health-related quality of life and the contribution of cognitive impairment in Australia: A decomposition analysis," Social Science & Medicine, Elsevier, vol. 361(C).

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