EconPapers    
Economics at your fingertips  
 

Minimum wage and employment in the U.S.: an application of Bayesian quantile kink regression

Marc Chan and Akbar Zamanzadeh

Econometric Reviews, 2025, vol. 44, issue 6, 673-695

Abstract: We examine whether the employment effects of minimum wage depend on unknown tipping points in the labor market. We apply a continuous threshold regression model—regression kink with unknown thresholds—to U.S. state-level panel data in 1993–2016 to estimate the tipping point and quantile employment effects. Overall, we find that the marginal effect is near-zero or mildly negative below the tipping point, and it is considerably more negative above it. The tipping occurs at 50–55% of the state’s median wage among women and 40–45% among men. Simulations of minimum wage reforms reveal nonlinear and asymmetric employment effects.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/07474938.2025.2451339 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:emetrv:v:44:y:2025:i:6:p:673-695

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/LECR20

DOI: 10.1080/07474938.2025.2451339

Access Statistics for this article

Econometric Reviews is currently edited by Dr. Essie Maasoumi

More articles in Econometric Reviews from Taylor & Francis Journals
Bibliographic data for series maintained by ().

 
Page updated 2025-06-11
Handle: RePEc:taf:emetrv:v:44:y:2025:i:6:p:673-695