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

  • Euwals, Rob
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    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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    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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    1. John C. Ham, 1980. "Estimation of a Labour Supply Model with Censoring Due to Unemployment and Underemployment," Working Papers 521, Princeton University, Department of Economics, Industrial Relations Section..
    2. 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.
    3. 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.
    4. 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.
    5. Bell, Linda A. & Freeman, Richard B., 2001. "The incentive for working hard: explaining hours worked differences in the US and Germany," Labour Economics, Elsevier, vol. 8(2), pages 181-202, May.
    6. Zvi Griliches & Jerry A. Hausman, 1984. "Errors in Variables in Panel Data," NBER Technical Working Papers 0037, National Bureau of Economic Research, Inc.
    7. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," NBER Working Papers 7580, National Bureau of Economic Research, Inc.
    8. 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.
    9. 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.
    10. Euwals, R.W. & Melenberg, B. & van Soest, A.H.O., 1997. "Testing the Predicitive Value of Subjective Labour Supply Data," Discussion Paper 1997-25, Tilburg University, Center for Economic Research.
    11. 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.
    12. 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.
    13. 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).
    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. repec:ner:tilbur:urn:nbn:nl:ui:12-364382 is not listed on IDEAS
    16. 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.
    17. 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, October.
    18. Wansbeek, Tom, 2001. "GMM estimation in panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 104(2), pages 259-268, September.
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