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Estimation of Labour Supply Functions Using Panel Data: A Survey

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The Econometrics of Panel Data

Part of the book series: Advanced Studies in Theoretical and Applied Econometrics ((ASTA,volume 28))

Abstract

The econometrics of labour supply belongs to one of the technically most advanced fields in microeconometrics.1 Many specific issues such as the proper modelling of tax structures, the existence of fixed costs as well as rationing have been treated in numerous articles so that marginal gains in substantive economic insights seem low and entry costs into the field prohibitively high. Surprisingly, one of the most obvious paths for research on labour supply, the (micro–) econometric analysis of the individual’s labour supply over the life cycle, has by now gained comparatively little attention. Increasing availability of panel data for many countries, as well as the development of appropriate econometric techniques, will make econometric studies of intertemporal labour supply behaviour using panel data not only interesting on purely theoretical grounds, they will also help to achieve a better understanding of individual retirement behaviour, the functioning of institutional settings in different countries (such as taxes, vocational training programmes, daycare for children) and the distribution of income and wealth, to name only a few.

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Authors
  1. Francois Laisney
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  2. Winfried Pohlmeier
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  3. Matthias Staat
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Editor information

Editors and Affiliations

  1. Monash University, Melbourne, Australia

    László Mátyás

  2. Budapest University of Economics, Hungary

    László Mátyás

  3. Université de Paris-Val-de-Marne and INSEE, France

    Patrick Sevestre

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© 1992 Kluwer Academic Publishers

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Laisney, F., Pohlmeier, W., Staat, M. (1992). Estimation of Labour Supply Functions Using Panel Data: A Survey. In: Mátyás, L., Sevestre, P. (eds) The Econometrics of Panel Data. Advanced Studies in Theoretical and Applied Econometrics, vol 28. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0375-3_20

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  • DOI: https://doi.org/10.1007/978-94-009-0375-3_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6655-6

  • Online ISBN: 978-94-009-0375-3

  • eBook Packages: Springer Book Archive

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