Unemployment insurance taxes are experience-rated to penalize firms that dismiss workers. We examine whether experience rating acts as an automatic stabilizer in the labor market. We exploit the fact that penalties for layoffs vary by state using detailed data on state tax schedules, and we...

We design and field an innovative survey of unemployment insurance (UI) recipients that yields new insights about wage stickiness on the layoff margin. Most UI recipients express a willingness to accept wage cuts of 5-10 percent to save their jobs, and one third would accept a 25 percent cut....

This paper studies the welfare effects of unemployment insurance (UI) in low-income countries characterized by high levels of informality, weak enforcement of UI claims, and job search frictions. We assess the impact of UI on workers' welfare in the presence of moral hazard and liquidity...

We document the dynamics of tax-based measures of work mediated by online platforms from 2012 through 2021. We present a measurement framework to account for high reporting thresholds on some information returns using returns from states with lower reporting thresholds to provide a more complete...

Rising self-employment rates in U.S. tax data that are absent in survey data have led to speculation that tax records capture a rise in new "gig" work that surveys miss. Drawing on the universe of IRS tax returns, we show that trends in firm-reported payments to "gig" and other contract workers...

This paper studies simple partial equilibrium models of dynamic labor demand, under certainty. Labor turnover costs may or may not decrease the firm's average labor demand, depending on the form of the revenue function, on the rates of discount and of labor attrition, and on the relative size of...

We develop a dynamic equilibrium model of labor demand with adverse selection. Firms learn the quality of newly hired workers after a period of employment. Adverse selection makes it costly to hire new workers and to release productive workers. As a result, firms hoard labor and under-react to...

This paper develops an algorithm for analyzing discrete events, such as labor market transitions, when some of these transitions are spurious because of measurement errors. Our algorithm extends the standard multinomial logit model, although our basic approach could be used with other stochastic...