Minimum wage and employment in the U.S.: an application of Bayesian quantile kink regression
收藏DataCite Commons2025-05-19 更新2025-05-07 收录
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资源简介:
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.
提供机构:
Taylor & Francis
创建时间:
2025-02-08



