IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp1035.html
   My bibliography  Save this paper

Estimates of a Labour Supply Function Using Alternative Measures of Hours of Work

Author

Listed:
  • Klevmarken, N. Anders

    () (Uppsala University)

Abstract

Depending on data source, estimates of hours of work give widely different results both as to level and change. In this paper three alternative measures of hours worked are used to estimate a simple labour supply function to investigate if estimated wage rate and income effects are data dependent as well. The measures used include those from time-use surveys and those from regular surveys. The latter are based on the responses to a question about normal weekly hours of market work. The results suggest that estimates of the wage rate effects become much smaller when measures of normal hours are used compared to data collected for a well-defined time period close to the date of interview, such as time-use data. The income effects appear less sensitive to the choice of data.

Suggested Citation

  • Klevmarken, N. Anders, 2004. "Estimates of a Labour Supply Function Using Alternative Measures of Hours of Work," IZA Discussion Papers 1035, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp1035
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp1035.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695 Elsevier.
    2. Brownstone, David & Valletta, Robert G, 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 705-717, November.
    3. Klevmarken, Anders, 1998. "Microeconomic Analysis of Time-use Data. Did we reach the promised land?," Working Paper Series 1998:12, Uppsala University, Department of Economics.
    4. Schwierz, Christoph, 2003. "The Effects of Taxes and Socioeconomic Variables on Market Work and Home Production in Norway in the Years 1970 to 2000," Memorandum 33/2003, Oslo University, Department of Economics.
    5. Carlin, Paul S. & Flood, Lennart, 1997. "Do children affect the labor supply of Swedish men? Time diary vs. survey data," Labour Economics, Elsevier, vol. 4(2), pages 167-183, June.
    6. Klevmarken, Anders, 1982. "Household Market and Nonmarket Activities (HUS) – A Pilot Study," Working Paper Series 77, Research Institute of Industrial Economics.
    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. Gimenez-Nadal, J. Ignacio & Molina, Jose Alberto, 2015. "Health status and the allocation of time: Cross-country evidence from Europe," Economic Modelling, Elsevier, vol. 46(C), pages 188-203.
    2. Steffen Otterbach & Alfonso Sousa-Poza, 2010. "How Accurate are German Work-time Data? A Comparison of Time-diary Reports and Stylized Estimates," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 97(3), pages 325-339, July.
    3. Gimenez-Nadal, Jose Ignacio & Sevilla, Almudena, 2012. "Trends in time allocation: A cross-country analysis," European Economic Review, Elsevier, vol. 56(6), pages 1338-1359.
    4. Charlene Kalenkoski & David Ribar & Leslie Stratton, 2009. "The influence of wages on parents’ allocations of time to child care and market work in the United Kingdom," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(2), pages 399-419, April.
    5. Bessho, Shun-ichiro & Hayashi, Masayoshi, 2011. "Labor supply response and preferences specification: Estimates for prime-age males in Japan," Journal of Asian Economics, Elsevier, vol. 22(5), pages 398-411, October.
    6. J. Ignacio Gimenez-Nadal & José Alberto Molina & Yu Zhu, 2018. "Intergenerational mobility of housework time in the United Kingdom," Review of Economics of the Household, Springer, vol. 16(4), pages 911-937, December.
    7. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2016. "Commuting Time And Household Responsibilities: Evidence Using Propensity Score Matching," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 332-359, March.
    8. Philip Trostel & Ian Walker, 2006. "Education and Work," Education Economics, Taylor & Francis Journals, vol. 14(4), pages 377-399.
    9. Giménez-Nadal, J. Ignacio & Molina, Jose Alberto & Ortega, Raquel, 2015. "As my parents at home? Gender differences in childrens’ housework between Germany and Spain," MPRA Paper 62699, University Library of Munich, Germany.
    10. Hyytinen, Ari & Ruuskanen, Olli-Pekka, 2006. "What makes an entrepreneur independent? Evidence from time use survey," Discussion Papers 1029, The Research Institute of the Finnish Economy.
    11. Shun-ichiro Bessho & Masayoshi Hayashi, 2005. "The CES utility function, non-linear budget constraints and labor supply : results on prime-age males in Japan," Labor Economics Working Papers 21911, East Asian Bureau of Economic Research.
    12. Kimmel, Jean & Connelly, Rachel, 2006. "Is Mothers' Time With Their Children Home Production or Leisure?," IZA Discussion Papers 2058, Institute for the Study of Labor (IZA).
    13. repec:spr:empeco:v:52:y:2017:i:4:d:10.1007_s00181-016-1100-x is not listed on IDEAS
    14. Bandara, Amarakoon, 2014. "How effective are countercyclical policy tools in mitigating the impact of financial and economic crises in Africa?," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 840-854.

    More about this item

    Keywords

    time-use; labour supply; hours of work; measurement errors;

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

    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:dp1035. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.