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The Predictive Value of Subjective Labour Supply Data: A Dynamic Panel Data Model with Measurement Error

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  • Euwals, Rob
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    Abstract

    This Paper tests the predictive value of subjective labour supply data for adjustments in working hours over time. The idea is that if subjective labour supply data help to predict next year’s working hours, such data must contain at least some information on individual labour supply preferences. This informational content can be crucial to identify models of labour supply. Furthermore, it can be crucial to investigate the need for, or, alternatively, the support for laws and collective agreements on working hours flexibility. In this Paper I apply dynamic panel data models that allow for measurement error. I find evidence for the predictive power of subjective labour supply data concerning desired working hours in the German Socio-Economic Panel 1988-96.

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    Bibliographic Info

    Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 3121.

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    Date of creation: Jan 2002
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    Handle: RePEc:cpr:ceprdp:3121

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    Related research

    Keywords: dynamic panel data models; labour supply; measurement error; subjective data;

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    1. Euwals, R.W. & Melenberg, B. & Soest, A.H.O. van, 1997. "Testing the Predicitive Value of Subjective Labour Supply Data," Discussion Paper 1997-25, Tilburg University, Center for Economic Research.
    2. F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2.
    3. Pannenberg, Markus & Wagner, Gert G., 2001. "Why Do Overtime Work, Overtime Compensation and the Distribution of Economic Well-Being Evidence for the West Germany and Great Britain," IZA Discussion Papers 318, Institute for the Study of Labor (IZA).
    4. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," NBER Working Papers 7580, National Bureau of Economic Research, Inc.
    5. Wansbeek, Tom, 2001. "GMM estimation in panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 104(2), pages 259-268, September.
    6. Boozer, Michael A., 1997. "Econometric Analysis of Panel Data Badi H. Baltagi Wiley, 1995," Econometric Theory, Cambridge University Press, vol. 13(05), pages 747-754, October.
    7. Kahn, Shulamit & Lang, Kevin, 1991. "The Effect of Hours Constraints on Labor Supply Estimates," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 605-11, November.
    8. Ilmakunnas, Seija & Pudney, Stephen, 1990. "A model of female labour supply in the presence of hours restrictions," Journal of Public Economics, Elsevier, vol. 41(2), pages 183-210, March.
    9. Stewart, Mark B & Swaffield, Joanna K, 1997. "Constraints on the Desired Hours of Work of British Men," Economic Journal, Royal Economic Society, vol. 107(441), pages 520-35, March.
    10. Linda A. Bell & Richard B. Freeman, 2000. "The Incentive for Working Hard: Explaining Hours Worked Differences in the U.S. and Germany," NBER Working Papers 8051, National Bureau of Economic Research, Inc.
    11. Ham, John C, 1982. "Estimation of a Labour Supply Model with Censoring Due to Unemployment and Underemployment," Review of Economic Studies, Wiley Blackwell, vol. 49(3), pages 335-54, July.
    12. Euwals, Rob & van Soest, Arthur, 1999. "Desired and actual labour supply of unmarried men and women in the Netherlands," Labour Economics, Elsevier, vol. 6(1), pages 95-118, March.
    13. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
    14. Euwals, Rob, 2001. "Female Labour Supply, Flexibility of Working Hours, and Job Mobility," Economic Journal, Royal Economic Society, vol. 111(471), pages C120-34, May.
    15. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    16. Kapteyn, Arie & Kooreman, Peter, 1992. "Household labor supply: What kind of data can tell us how many decision makers there are?," European Economic Review, Elsevier, vol. 36(2-3), pages 365-371, April.
    17. Jennifer Hunt, 1998. "Hours Reductions as Work-Sharing," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(1), pages 339-381.
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