This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with...

This paper presents results from the fourth year of a multi-year, pre-committed research design for analyzing recent minimum wage changes. Using ACS and CPS data through 2018, we find that relatively large minimum wage increases reduced employment among low-skilled individuals by roughly 2.5...

This paper presents results from the third year of a multi-year, pre-committed research design for analyzing recent minimum wage changes. Using ACS and CPS data through 2017, we find that relatively large minimum wage increases reduced employment among low-skilled individuals by just over 2...

We employ CPS data to analyze the sources of hourly real wage changes in the United States for 1976 to 2016 at various quantiles of the wage distribution. We account for the selection bias from the annual hours of work decision by developing and implementing an estimator for nonseparable...

This paper presents results from the first year of a multi-year, pre-committed research design for analyzing recent state-level minimum wage changes. Through 2015 and 2016, we estimate that relatively large statutory minimum wage increases have reduced employment among low-skilled population...