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Occupational Mobility in the ALife Data: How Reliable are Occupational Patterns from Administrative Australian Tax Records?

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  • Clara Hathorne
  • Robert Breunig

Abstract

The purpose of this paper is to compare the distribution of occupation and rates of occupational mobility in the ATO Longitudinal Information Files (ALife) and the Household, Income and Labour Dynamics in Australia (HILDA) datasets. As tax is not occupation dependent, occupation data from tax records may not be reliable. We find that occupational mobility in the ALife data is less than half that in the nationally representative HILDA data. In contrast, the distribution of occupation and its relationship with most key socio‐economic characteristics appear relatively similar across the two datasets. However, occupation evolves differently over time in the two datasets and there are some differences between the sexes.

Suggested Citation

  • Clara Hathorne & Robert Breunig, 2022. "Occupational Mobility in the ALife Data: How Reliable are Occupational Patterns from Administrative Australian Tax Records?," Economic Papers, The Economic Society of Australia, vol. 41(4), pages 297-324, December.
    • Handle: RePEc:bla:econpa:v:41:y:2022:i:4:p:297-324
    DOI: 10.1111/1759-3441.12369
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    References listed on IDEAS

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    1. Nicole Watson & Mark Wooden, 2010. "Data Survey: The HILDA Survey: Progress and Future Developments," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(3), pages 326-336, September.
    2. Sicherman, Nachum, 1990. "Education and occupational mobility," Economics of Education Review, Elsevier, vol. 9(2), pages 163-179, June.
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    Cited by:

    1. Michelle Rendall & Satoshi Tanaka & Yi Zhang, "undated". "College Majors and Skill Mismatch in Labour," MRG Discussion Paper Series 4924, School of Economics, University of Queensland, Australia.

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