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Australian gross flows data: the labour force survey and the size of the population represented by the matched sample

Author

Listed:
  • Robert Dixon

    (The University of Melbourne)

  • G.C. Lim

    (The University of Melbourne)

Abstract

In this paper we look at the way in which the Australian Bureau of Statistics (ABS) derives gross flows data from successive Labour Force Surveys. The procedure used by the ABS is described and a measure of the ‘matching rate’ obtained. We develop a simple theoretical model designed to explore the relationship between the Labour Force Survey response rate(s) and the size of the matched sample relative to the potentially matched number of persons. We report the results of an econometric model of the evolution over time of the size of the matched sample relative to the potentially matched number of persons. The paper should be of interest not only to researchers interested in Australian Gross Flows data but also to anyone who uses data generated by the monthly Labour Force Survey.

Suggested Citation

  • Robert Dixon & G.C. Lim, 2002. "Australian gross flows data: the labour force survey and the size of the population represented by the matched sample," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 5(1), pages 1-21, March.
    • Handle: RePEc:ozl:journl:v:5:y:2002:i:1:p:1-21
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    Cited by:

    1. Robert Dixon, 2001. "Australian Labour Force Data: How Representative is the ‘Population Represented by the Matched Sample’?," The Economic and Labour Relations Review, , vol. 12(2), pages 303-330, December.
    2. Robert Dixon & G. C. Lim & Jan C. van Ours, 2015. "The effect of shocks to labour market flows on unemployment and participation rates," Applied Economics, Taylor & Francis Journals, vol. 47(24), pages 2523-2539, May.
    3. Robert Dixon & John Freebairn & Guay Lim, 2005. "An Examination of Net Flows in the Australian Labour Market," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 8(1), pages 25-42, March.
    4. Robert Dixon & John Freebairn & G. C. Lim, 2004. "A Framework For Understanding Changes In The Unemployment Rate In A Flows Context: An Examination Net Flows In The Australian Labour Market," Department of Economics - Working Papers Series 910, The University of Melbourne.
    5. Chew Lian Chua & Robert Dixon & G. C. Lim, 2007. "What Drives Worker Flows?," Melbourne Institute Working Paper Series wp2007n34, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Robert Dixon & John Freebairn & Guay Lim, 2003. "Why are recessions as deep as they are? The behaviour over time of the outflow from unemployment: a new perspective," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 6(1), pages 37-64, March.
    7. Brian Silverstone & Will Bell, 2011. "Gross Labour Market Flows in New Zealand: Some Questions and Answers," Working Papers in Economics 11/15, University of Waikato.
    8. Jeff Borland, 2009. "What Happens to the Australian Labour Market in Recessions?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(2), pages 232-242, June.

    More about this item

    Keywords

    Worker Flows; Gross Flows Estimation; Labour Force Survey;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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