IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp400.html
   My bibliography  Save this paper

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

Author

Listed:
  • Euwals, Rob

    (CPB Netherlands Bureau for Economic Policy Analysis)

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 1988-1996.

Suggested Citation

  • Euwals, Rob, 2001. "The Predictive Value of Subjective Labour Supply Data: A Dynamic Panel Data Model with Measurement Error," IZA Discussion Papers 400, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp400
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp400.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John C. Ham, 1982. "Estimation of a Labour Supply Model with Censoring Due to Unemployment and Underemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(3), pages 335-354.
    2. Rob Euwals & Bertrand Melenberg & Arthur van Soest, 1998. "Testing the predictive value of subjective labour supply data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 567-585.
    3. 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.
    4. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    5. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    6. 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.
    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 605-611, November.
    8. 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 of Labor Economics (IZA).
    9. 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.
    10. 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.
    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 520-535, March.
    12. 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, March.
    13. 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.
    14. Wansbeek, Tom, 2001. "GMM estimation in panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 104(2), pages 259-268, September.
    15. Euwals, Rob, 2001. "Female Labour Supply, Flexibility of Working Hours, and Job Mobility," Economic Journal, Royal Economic Society, vol. 111(471), pages 120-134, May.
    16. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Euwals, Rob, 2002. "The Predictive Value of Subjective Labour Supply Data: A Dynamic Panel Data Model with Measurement Error," CEPR Discussion Papers 3121, C.E.P.R. Discussion Papers.
    2. Rob Euwals, 2002. "The Predictive Value of Subjective Labour Supply Data: A Dynamic Panel Data Model with Measurement Error," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D1-3, International Conferences on Panel Data.
    3. Rob Euwals, 2010. "The Predictive Value of Subjective Labour Supply Data: A Dynamic Panel Data Model with Measurement Error," Working Papers id:2762, eSocialSciences.
    4. Sousa-Poza, Alfonso & Ziegler, Alexandre, 2003. "Asymmetric information about workers' productivity as a cause for inefficient long working hours," Labour Economics, Elsevier, vol. 10(6), pages 727-747, December.
    5. 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).
    6. Martinez-Granado, Maite, 2005. "Testing labour supply and hours constraints," Labour Economics, Elsevier, vol. 12(3), pages 321-343, June.
    7. Richard Blundell & Mike Brewer & Marco Francesconi, 2008. "Job Changes and Hours Changes: Understanding the Path of Labor Supply Adjustment," Journal of Labor Economics, University of Chicago Press, vol. 26(3), pages 421-453, July.
    8. Gutiérrez-i-Puigarnau, Eva & van Ommeren, Jos N., 2010. "Labour supply and commuting," Journal of Urban Economics, Elsevier, vol. 68(1), pages 82-89, July.
    9. Paul, Annemarie, 2015. "After work shopping? Employment effects of a deregulation of shop opening hours in the German retail sector," European Economic Review, Elsevier, vol. 80(C), pages 329-353.
    10. Eva Gutierrez-i-Puigarnau & Jos van Ommeren, 2009. "Labour Supply and Commuting: Implications for Optimal Road Taxes," Tinbergen Institute Discussion Papers 09-008/3, Tinbergen Institute.
    11. repec:dgr:uvatin:20090008 is not listed on IDEAS
    12. René Böheim & Mark P. Taylor, 2003. "Option Or Obligation? The Determinants Of Labour Supply Preferences In Britain," Manchester School, University of Manchester, vol. 71(2), pages 113-131, March.
    13. Beckmannshagen, Mattis & Schröder, Carsten, 2022. "Earnings inequality and working hours mismatch," Labour Economics, Elsevier, vol. 76(C).
    14. Roger Wilkins, 2004. "The Extent and Consequences of Underemployment in Australia," Melbourne Institute Working Paper Series wp2004n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    15. Fischer, Benjamin & Jessen, Robin & Steiner, Viktor, 2019. "Work incentives and the cost of redistribution via tax-transfer reforms under constrained labor supply," Discussion Papers 2019/10, Free University Berlin, School of Business & Economics.
    16. Wunder, Christoph, 2016. "Working hours mismatch and well-being: comparative evidence from Australian and German panel data," VfS Annual Conference 2016 (Augsburg): Demographic Change 145544, Verein für Socialpolitik / German Economic Association.
    17. Rob Euwals & Bertrand Melenberg & Arthur van Soest, 1998. "Testing the predictive value of subjective labour supply data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 567-585.
    18. William Hauk & Romain Wacziarg, 2009. "A Monte Carlo study of growth regressions," Journal of Economic Growth, Springer, vol. 14(2), pages 103-147, June.
    19. David Bell & Steffen Otterbach & Alfonso Sousa-Poza, 2012. "Work Hours Constraints and Health," Annals of Economics and Statistics, GENES, issue 105-106, pages 35-54.
    20. Richard Rogerson, 2011. "Individual and Aggregate Labor Supply with Coordinated Working Times," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 7-37, August.
    21. Biørn, Erik, 2012. "The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation," Memorandum 02/2012, Oslo University, Department of Economics.

    More about this item

    Keywords

    dynamic panel data models; measurement error; subjective data; Labour supply;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp400. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.