Remote wage employment gradually increased in the United States during the four decades prior to the pandemic, then surged in 2020 due to social distancing policies implemented to stem the spread of COVID-19. Using the 2010-2021 American Community Survey, the authors examine trends in wage and...

Remote wage employment gradually increased in the United States during the four decades prior to the pandemic, then surged in 2020 due to social distancing policies implemented to stem the spread of COVID-19. Using the 2010-2021 American Community Survey, the authors examine trends in wage and...

Conventional labor supply studies assume constant eligibility monitoring of income-tested program participants, but this is not true for most programs. For example, states can allow children to enroll in Medicaid/CHIP for 12 months regardless of family income changes. A long recertification...

This paper contributes to a large literature concerned with identifying the source of the widening wage gap between high school and college graduates by providing a comprehensive, multidimensional decomposition of wages across both time and educational status. Data from a multitude of sources...

Over half of the U.S. population receives health insurance through an employer, with employer premium contributions creating a flat "head tax" per worker, independent of their earnings. This paper develops and calibrates a stylized model of the labor market to explore how this uniquely American...

Since the spring of 2021, over 33 million Americans have departed their employment, according to the popular slogan. The majority of Americans who left their employment appear to be doing so to acquire better jobs. The highest percentage of leaving is among low-wage workers in the leisure and...

Over half of the U.S. population receives health insurance through an employer, with employer premium contributions creating a flat "head tax" per worker, independent of their earnings. This paper develops and calibrates a stylized model of the labor market to explore how this uniquely American...

We consider large, permanent shocks to individual occupations whose arrival date is uncertain. We are motivated by the advent of self-driving trucks, which will dramatically reduce demand for truck drivers. Using a bare-bones overlapping generations model, we examine an occupation facing...

Recent studies have proposed causal machine learning (CML) methods to estimate conditional average treatment effects (CATEs). In this study, I investigate whether CML methods add value compared to conventional CATE estimators by re-evaluating Connecticut's Jobs First welfare experiment. This...

This paper presents a theoretical and empirical analysis of the role of life expectancy for optimal schooling and lifetime labor supply. The results of a simple prototype Ben-Porath model with age-specific survival rates show that an increase in lifetime labor supply is not a necessary, nor a...