IDEAS home Printed from https://ideas.repec.org/p/nod/wpaper/020.html

Are Long-term Wage Elasticities of Labor Supply More Negative than Short-term Ones?

Author

Listed:
  • Kirk B. Doran

    (Department of Economics, University of Notre Dame)

Abstract

A fundamental prediction of inter-temporal labor supply theory is that the wage-elasticity of labor supply must be more negative the longer the wage change lasts. This paper analyzes labor supply using unique data on workers who choose their own daily hours and who experience both short-term and long-term wage changes. Workers decrease their daily hours in response to shortterm wage increases, but not in response to a 20% long-term wage increase. This is consistent with a specific daily income goals model- one in which these goals remain unadjusted to unexpected short-term wage fluctuations, but fully adjust to expected longer-term wage fluctuations.

Suggested Citation

  • Kirk B. Doran, 2013. "Are Long-term Wage Elasticities of Labor Supply More Negative than Short-term Ones?," Working Papers 020, University of Notre Dame, Department of Economics, revised Jan 2013.
    • Handle: RePEc:nod:wpaper:020
    as

    Download full text from publisher

    File URL: http://www3.nd.edu/~tjohns20/RePEc/deendus/wpaper/020_cabs.pdf
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Hsiaw, Alice, 2018. "Goal bracketing and self-control," Games and Economic Behavior, Elsevier, vol. 111(C), pages 100-121.
    2. David Staines, 2023. "Stochastic Equilibrium the Lucas Critique and Keynesian Economics," Papers 2312.16214, arXiv.org, revised Jun 2024.
    3. Brodeur, Abel & Nield, Kerry, 2018. "An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 1-16.
    4. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    5. Barbos, Andrei & Kaisen, Joshua, 2022. "An Example of Negative Wage Elasticity for YouTube Content Creators," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 382-400.
    6. Motghare, Swapnil, 2021. "The long-run elasticity of labor supply: New evidence for New York City taxicab drivers☆," Labour Economics, Elsevier, vol. 71(C).
    7. Tess M. Stafford, 2015. "What Do Fishermen Tell Us That Taxi Drivers Do Not? An Empirical Investigation of Labor Supply," Journal of Labor Economics, University of Chicago Press, vol. 33(3), pages 683-710.
    8. Henry S. Farber, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," Working Papers 583a, Princeton University, Department of Economics, Industrial Relations Section..
    9. Henry S. Farber, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," NBER Working Papers 20604, National Bureau of Economic Research, Inc.
    10. Christine L. Exley & Stephen J. Terry, 2019. "Wage Elasticities in Working and Volunteering: The Role of Reference Points in a Laboratory Study," Management Science, INFORMS, vol. 65(1), pages 413-425, January.
    11. Hammarlund, Cecilia, 2018. "A trip to reach the target? – The labor supply of Swedish Baltic cod fishermen," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 1-11.
    12. Timothy J. Richards, 2020. "Income Targeting and Farm Labor Supply," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 419-438, March.
    13. Alessandro Saia, 2022. "Trouble Underground: Demand Shocks and the Labor Supply Behavior of New York City Taxi Drivers," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(1), pages 1-27, March.
    14. Oliver März, 2016. "Framing, Expectations and Reference Points," Working Papers ECARES ECARES 2016-40, ULB -- Universite Libre de Bruxelles.
    15. Yiyuan Ma & Ke Chen & Youzhi Xiao & Rong Fan, 2022. "Does Online Ride-Hailing Service Improve the Efficiency of Taxi Market? Evidence from Shanghai," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    16. Kareem Haggag & Brian McManus & Giovanni Paci, 2017. "Learning by Driving: Productivity Improvements by New York City Taxi Drivers," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 70-95, January.
    17. Henry S. Farber, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," Working Papers 583, Princeton University, Department of Economics, Industrial Relations Section..
    18. Pascaline Dupas & Jonathan Robinson, 2013. "Daily Needs, Income Targets and Labor Supply: Evidence from Kenya," NBER Working Papers 19264, National Bureau of Economic Research, Inc.
    19. Lu Ling & Xinwu Qian & Satish V. Ukkusuri, 2023. "Impact of Transportation Network Companies on Labor Supply and Wages for Taxi Drivers," Papers 2307.13620, arXiv.org.
    20. Farber, Henry S, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," IZA Discussion Papers 8562, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    ;

    JEL classification:

    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

    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:nod:wpaper:020. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Terence Johnson The email address of this maintainer does not seem to be valid anymore. Please ask Terence Johnson to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/deendus.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.