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The predictive value of subjective labour supply data: A partial-adjustment model with measurement error

Author

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  • Rob Euwals

Abstract

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Suggested Citation

  • Rob Euwals, 2005. "The predictive value of subjective labour supply data: A partial-adjustment model with measurement error," Empirical Economics, Springer, vol. 30(2), pages 309-329, September.
    • Handle: RePEc:spr:empeco:v:30:y:2005:i:2:p:309-329
    DOI: 10.1007/s00181-004-0231-7
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    Citations

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    Cited by:

    1. Nadia Steiber, 2008. ""How Many Hours Would you Want to Work a Week?": Job Quality and the Omitted Variables Bias in Labour Supply Models," SOEPpapers on Multidisciplinary Panel Data Research 121, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Kai-Uwe Müller & Michael Neumann & Katharina Wrohlich, 2018. "Labor Supply under Participation and Hours Constraints," Discussion Papers of DIW Berlin 1758, DIW Berlin, German Institute for Economic Research.
    3. Keith A. Bender & John Douglas Skåtun, 2009. "Constrained By Hours And Restricted In Wages: The Quality Of Matches In The Labor Market," Economic Inquiry, Western Economic Association International, vol. 47(3), pages 512-529, July.

    More about this item

    Keywords

    Labour supply; subjective data; measurement error; dynamic panel data models; C23; J22;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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