We consider the problem of assessing the effects of a treatment on duration outcomes using data from a randomized evaluation with noncompliance. For such settings, we derive nonparametric sharp bounds for average and quantile treatment effects addressing three pervasive problems simultaneously:...

In contrast to his contribution to other areas, Shubhashis Gangopadhyay's contributions to our understanding of poverty are often thought of as indirect consequences of the main themes of his work. Yet in more than 15 published papers Gangopadhyay directly takes on poverty, including its...

This study revisits the increase in wage inequality in Germany. Accounting for changes in various sets of observables, composition changes explain a large part of the increase in wage inequality among full-time workers. The composition effects are larger for females than for males, and...

Do firms employing undocumented workers have a competitive advantage? Using administrative data from the state of Georgia, this paper investigates the incidence of undocumented worker employment across firms and how it affects firm survival. Firms are found to engage in herding behavior, being...

In this paper we highlight an important property of the translog production function for the identification of treatment effects in a model of latent skill formation. We show that when using a translog specification of the skill technology, properly anchored treatment effect estimates are...

Matched worker-firm data from Danish manufacturing reveal that 1) industries differ in within-firm worker skill dispersion, and 2) the correlation between within-firm skill dispersion and productivity is positive in industries with higher average skill dispersion. We argue that these patterns...

We here use the employment-history data from the British Cohort Study to calculate an individual's total experience of unemployment from the time they left school up to age 30. We show that this experience is negatively correlated with the life satisfaction that the individual reports at age 30,...

We theoretically show that agents with loss-averse preferences facing a decision to receive a bad financial payoff if they report honestly or to receive a better financial payoff if they report dishonestly are more likely to lie to avoid receiving the low payoff the lower the ex-ante probability...

A key assumption in regression discontinuity analysis is that units cannot manipulate the value of their running variable in a way that guarantees or avoids assignment to the treatment. Standard identification arguments break down if this condition is violated. This paper shows that treatment...