Minimum wage and employment in the U.S.: an application of Bayesian quantile kink regression
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.
Authors
- Akbar Zamanzadeh (ORCID: https://orcid.org/0000-0002-1305-6535)
- Marc K. Chan (ORCID: https://orcid.org/0000-0002-1010-7587)
Institutions
- The University of Melbourne (AU)
- University of South Australia (AU)
Publication Details
- Journal
- Econometric Reviews
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1080/07474938.2025.2451339
- Primary Topic
- Spatial and Panel Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00