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Sample Attrition in the HILDA Survey

Author

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  • Nicole Watson

    (The University of Melbourne)

  • Mark Wooden

Abstract

This paper provides an assessment of the nature of attrition in the HILDA Survey sample between wave 1 and wave 2. More specifically, the paper presents summary statistics on the levels of response achieved in wave 2, reports on observable differences between wave 1 respondents who did not respond in wave 2 and those that did, and examines briefly the impact of attrition on population estimates.

Suggested Citation

  • Nicole Watson & Mark Wooden, 2004. "Sample Attrition in the HILDA Survey," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(2), pages 293-308, June.
    • Handle: RePEc:ozl:journl:v:7:y:2004:i:2:p:293-308
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    References listed on IDEAS

    as
    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Mark Wooden & Simon Freidin & Nicole Watson, 2002. "The Household, Income and Labour Dynamics in Australia (HILDA)Survey: Wave 1," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 35(3), pages 339-348, September.
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    Cited by:

    1. Christopher L. Ambrey & Christopher M. Fleming, 2012. "Valuing Australia's protected areas: A life satisfaction approach," New Zealand Economic Papers, Taylor & Francis Journals, vol. 46(3), pages 191-209, December.
    2. Bruce Chapman & Paul Flatau, 2004. "Introduction and Appendix: The Household, Income and Labour Dynamics in Australia (HILDA) Survey Special Issue: Case Studies in Labour Economics," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(2), pages 109-124, June.
    3. Stéphane Mahuteau & Rong Zhu, 2016. "Crime Victimisation and Subjective Well‐Being: Panel Evidence From Australia," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1448-1463, November.
    4. Aude Bernard & Martin Bell & Elin Charles-Edwards, 2016. "Internal migration age patterns and the transition to adulthood: Australia and Great Britain compared," Journal of Population Research, Springer, vol. 33(2), pages 123-146, June.
    5. Rosanna Scutella & Mark Wooden, 2006. "Effects of Household Joblessness on Subjective Well-Being," Melbourne Institute Working Paper Series wp2006n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Peter Saunders & Bruce Bradbury, 2006. "Monitoring Trends in Poverty and Income Distribution: Data, Methodology and Measurement," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 341-364, September.
    7. Scutella, Rosanna & Wooden, Mark, 2008. "The effects of household joblessness on mental health," Social Science & Medicine, Elsevier, vol. 67(1), pages 88-100, July.
    8. Paul Dolan & Richard Layard & Robert Metcalfe, 2011. "Measuring Subjective Wellbeing for Public Policy: Recommendations on Measures," CEP Reports 23, Centre for Economic Performance, LSE.
    9. Bruce Headey & Mark Wooden & Gary Marks, 2004. "The Structure and Distribution of Household Wealth in Australia," Melbourne Institute Working Paper Series wp2004n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    10. Deborah A. Cobb-Clark & Andrew Leigh, 2009. "Long-Term Unemployment in the ACT," CEPR Discussion Papers 603, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    11. Christopher Ambrey & Christopher Fleming, 2014. "Life Satisfaction in Australia: Evidence from Ten Years of the HILDA Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(2), pages 691-714, January.
    12. Petrie, Dennis & Doran, Chris & Shakeshaft, Anthony & Sanson-Fisher, Rob, 2008. "The relationship between alcohol consumption and self-reported health status using the EQ5D: Evidence from rural Australia," Social Science & Medicine, Elsevier, vol. 67(11), pages 1717-1726, December.
    13. Dolan, Paul & Layard, Richard & Metcalfe, Robert, 2011. "Measuring subjective well-being for public policy," LSE Research Online Documents on Economics 35420, London School of Economics and Political Science, LSE Library.
    14. Matthew Taylor, 2018. "The Survey of Income and Housing," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(2), pages 276-285, June.
    15. Weiping Kostenko, 2009. "Does Labour Market Achievement Matter for the Wellbeing of Australian Immigrants? Culture and Gender Differences," Melbourne Institute Working Paper Series wp2009n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    16. David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2021. "Posterior Probabilities for Lorenz and Stochastic Dominance of Australian Income Distributions," The Economic Record, The Economic Society of Australia, vol. 97(319), pages 504-524, December.
    17. Lipps Oliver & Voorpostel Marieke, 2020. "Can Interviewer Evaluations Predict Short-Term and Long-Term Participation in Telephone Panels?," Journal of Official Statistics, Sciendo, vol. 36(1), pages 117-136, March.
    18. Awaworyi Churchill, Sefa & Smyth, Russell, 2022. "Locus of control and the mental health effects of local area crime," Social Science & Medicine, Elsevier, vol. 301(C).

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    More about this item

    Keywords

    Econometric and Statistical Methods; Methodology for Collecting; Estimating and Organizing Microeconomic Data;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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