IDEAS home Printed from https://ideas.repec.org/a/taf/jnlbes/v40y2022i3p1302-1314.html
   My bibliography  Save this article

Synthetic Control Estimation Beyond Comparative Case Studies: Does the Minimum Wage Reduce Employment?

Author

Listed:
  • David Powell

Abstract

Panel data are often used in empirical work to account for fixed additive time and unit effects. The synthetic control estimator relaxes the assumption of additive fixed effects for comparative case studies in which a treated unit adopts a single policy. This article generalizes the synthetic control estimator to estimate parameters associated with multiple discrete or continuous explanatory variables, jointly estimating the parameters and synthetic controls for each unit. I apply the estimator to study the disemployment effects of the minimum wage, estimating that increases in the minimum wage reduce employment.

Suggested Citation

  • David Powell, 2022. "Synthetic Control Estimation Beyond Comparative Case Studies: Does the Minimum Wage Reduce Employment?," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1302-1314, June.
    • Handle: RePEc:taf:jnlbes:v:40:y:2022:i:3:p:1302-1314
    DOI: 10.1080/07350015.2021.1927743
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07350015.2021.1927743
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/07350015.2021.1927743?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Nuno Garoupa & Rok Spruk, 2024. "Populist Constitutional Backsliding and Judicial Independence: Evidence from Turkiye," Papers 2410.02439, arXiv.org.
    2. Sebastian Fossati & Joseph Marchand, 2024. "First to $15: Alberta’s Minimum Wage Policy on Employment by Wages, Ages, and Places," ILR Review, Cornell University, ILR School, vol. 77(1), pages 119-142, January.
    3. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
    4. Ranjan, Priya & Neumark, David & Rodriguez-Lopez, Antonio, 2022. "What's across the Border? Re-Evaluating the Cross-Border Evidence on Minimum Wage Effects," IZA Discussion Papers 15282, Institute of Labor Economics (IZA).
    5. Emery Thomas J. & Kovac Mitja & Spruk Rok, 2023. "Estimating the Effects of Political Instability in Nascent Democracies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(6), pages 599-642, December.
    6. David Neumark & Maysen Yen, 2023. "The employment and redistributive effects of reducing or eliminating minimum wage tip credits," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(4), pages 1092-1116, September.
    7. Gmeiner, Michael & Gmeiner, Robert, 2023. "Estimating the employment effect of the minimum wage through variation in compliance: evidence from five US states," LSE Research Online Documents on Economics 121277, London School of Economics and Political Science, LSE Library.
    8. Lennon, Conor & Teltser, Keith F. & Fernandez, Jose & Gohmann, Stephan, 2023. "How morality and efficiency shape public support for minimum wages," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 618-637.
    9. David Neumark & Peter Shirley, 2022. "Myth or measurement: What does the new minimum wage research say about minimum wages and job loss in the United States?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 61(4), pages 384-417, October.

    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:taf:jnlbes:v:40:y:2022:i:3:p:1302-1314. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UBES20 .

    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.