IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/2988.html
   My bibliography  Save this paper

Sleep and the Allocation of Time

Author

Listed:
  • Jeff E. Biddle
  • Daniel S. Hamermesh

Abstract

Sleep must be considered subject to choice and affected by the same economic variables that affect other uses of time. Using aggregated data for 12 countries, a cross-section of microeconomic data, and a panel of households, we demonstrate that increases in time spent in the labor market reduce sleep time. Each additional hour of market work reduces sleep by roughly 10 minutes (and waking nonmarket time by 50 minutes). The total time available for work and leisure is thus itself subject to choice. Interestingly too, otherwise identical women sleep significantly less than men (even though the average Woman sleeps slightly more). We develop a theory of the demand for sleep that differs from standard models by its assumption that sleep affects wages through its impact on labor-market productivity. Estimates of a system of demand equations demonstrate that higher wage rates reduce sleep time among men, an effect that is entirely offset by their positive effect on waking nonmarket time. Among Women the wage effect on waking nonmarket time is negative and small, but the effect on sleep is negative and quite large. These results, and the model they are based on, allow a more s subtle interpretation of standard results in the labor supply literature.

Suggested Citation

  • Jeff E. Biddle & Daniel S. Hamermesh, 1989. "Sleep and the Allocation of Time," NBER Working Papers 2988, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:2988
    Note: LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w2988.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kooreman, Peter & Kapteyn, Arie, 1987. "A Disaggregated Analysis of the Allocation of Time within the Household," Journal of Political Economy, University of Chicago Press, vol. 95(2), pages 223-249, April.
    2. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    3. Stafford, Frank & Duncan, Greg J., 1979. "The Use of Time and Technology by Households in the United States," Working Paper Series 21, Research Institute of Industrial Economics.
    4. Michael Abbott & Orley Ashenfelter, 1976. "Labour Supply, Commodity Demand and the Allocation of Time," Review of Economic Studies, Oxford University Press, vol. 43(3), pages 389-411.
    5. James J. Heckman & Thomas E. Macurdy, 1980. "A Life Cycle Model of Female Labour Supply," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 47-74.
    Full references (including those not matched with items on IDEAS)

    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. William Greene, 2001. "Estimating Econometric Models With Fixed Effects," Working Papers 01-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel Jackknife Estimation of Fixed-effect Models," Review of Economic Studies, Oxford University Press, vol. 82(3), pages 991-1030.
    3. Mehrotra, Santosh & Parida, Jajati K., 2017. "Why is the Labour Force Participation of Women Declining in India?," World Development, Elsevier, vol. 98(C), pages 360-380.
    4. repec:eee:labchp:v:1:y:1986:i:c:p:103-204 is not listed on IDEAS
    5. John Pencavel, 2016. "Whose Preferences Are Revealed In Hours Of Work?," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 9-24, January.
    6. Jongsoog Kim & Lydia Zepeda, 2004. "When The Work Is Never Done: Time Allocation In Us Family Farm Households," Feminist Economics, Taylor & Francis Journals, vol. 10(1), pages 115-139.
    7. Jonathan Gershuny & John Robinson, 1988. "Historical changes in the household division of labor," Demography, Springer;Population Association of America (PAA), vol. 25(4), pages 537-552, November.
    8. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    9. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    10. Adele Bergin, 2015. "Employer Changes and Wage Changes: Estimation with Measurement Error in a Binary Variable," LABOUR, CEIS, vol. 29(2), pages 194-223, June.
    11. Fernando Rios-Avila & Gustavo Canavire-Bacarreza, 2018. "Standard-error correction in two-stage optimization models: A quasi–maximum likelihood estimation approach," Stata Journal, StataCorp LP, vol. 18(1), pages 206-222, March.
    12. Mastrobuoni, Giovanni, 2011. "The role of information for retirement behavior: Evidence based on the stepwise introduction of the Social Security Statement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 913-925, August.
    13. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    14. Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366, June.
    15. Richard Harris & John Moffat, 2011. "R&D, Innovation and Exporting," SERC Discussion Papers 0073, Spatial Economics Research Centre, LSE.
    16. repec:zbw:rwirep:0200 is not listed on IDEAS
    17. Mohammed SHARIF, 2000. "Inverted “S”—The complete neoclassical labour-supply function," International Labour Review, International Labour Organization, vol. 139(4), pages 409-435, December.
    18. Card, David & Rothstein, Jesse, 2007. "Racial segregation and the black-white test score gap," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2158-2184, December.
    19. Hoderlein, Stefan & White, Halbert, 2012. "Nonparametric identification in nonseparable panel data models with generalized fixed effects," Journal of Econometrics, Elsevier, vol. 168(2), pages 300-314.
    20. Magri, Silvia & Pico, Raffaella, 2011. "The rise of risk-based pricing of mortgage interest rates in Italy," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1277-1290, May.
    21. Kjetil Telle, 2004. "Effects of inspections on plants' regulatory and environmental performance - evidence from Norwegian manufacturing industries," Discussion Papers 381, Statistics Norway, Research Department.
    22. Richard Blundell & Luigi Pistaferri & Itay Saporta-Eksten, 2016. "Consumption Inequality and Family Labor Supply," American Economic Review, American Economic Association, vol. 106(2), pages 387-435, February.

    More about this item

    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:nbr:nberwo:2988. 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: . General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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: (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.