IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/35047.html

Identification and Estimation of Labor Supply Elasticities from Kinked Budget Sets

Author

Listed:
  • Deniz Dutz
  • Morten Håvarstein
  • Magne Mogstad
  • Alexander Torgovitsky

Abstract

We study the identification of labor supply elasticities from kinked budget sets in a model with income effects and individual heterogeneity in the elasticities. We provide point and partial identification results for compensated elasticities, uncompensated elasticities, and income effects. We use administrative data to apply our results to the Norwegian tax system, which exhibits a kink for the self-employed. There is clear bunching around the kink point, suggesting that the self-employed respond to the change in incentives created by the kink. We find that the bounds are often tight even under weak assumptions. Our results show that uncompensated elasticities are close to zero and compensated elasticities are sufficiently small to conclude that the excess burden of taxation is low.

Suggested Citation

  • Deniz Dutz & Morten Håvarstein & Magne Mogstad & Alexander Torgovitsky, 2026. "Identification and Estimation of Labor Supply Elasticities from Kinked Budget Sets," NBER Working Papers 35047, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:35047
    Note: LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w35047.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • 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:nbr:nberwo:35047. 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: the person in charge (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. RePEc uses bibliographic data supplied by the respective publishers.