IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/35298.html

Does Regional Variation in Wage Levels Identify the Effects of a National Minimum Wage?

Author

Listed:
  • Daniel Haanwinckel

Abstract

This paper uses theory and extensive simulations to study two approaches that use regional wage differences to identify the effects of a national minimum wage: effective-minimum-wage designs, which measure exposure using contemporaneous local wages, and fraction-affected/ gap designs, which measure exposure before reform. I show that these designs can be unreliable in many plausible settings. A Brazilian case study shows that employment and wage-inequality estimates vary sharply across specifications, providing a plausible explanation for conflicting findings in the existing Brazilian literature. The paper concludes with practical recommendations for applied researchers and discusses how similar concerns may arise in other settings.

Suggested Citation

  • Daniel Haanwinckel, 2026. "Does Regional Variation in Wage Levels Identify the Effects of a National Minimum Wage?," NBER Working Papers 35298, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:35298
    Note: LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w35298.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 look for a different version below or

    for a different version of it.

    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. is not listed on IDEAS
    2. Rui Costa & Olivia Masi & Beatriz Ribeiro & Matteo Sandi, 2026. "Sentencing severity, victim behaviour, and the prevention of domestic violence," CEP Discussion Papers dp2177, Centre for Economic Performance, LSE.

    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

    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:35298. 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.