A large body of literature estimates the relative wage impacts of immigration on low- and high-skill natives, but it is unclear how these effects map onto changes of the wage distribution. I document the movement of foreign-born workers in the U.S. wage distribution, showing that, since 1980,...

This paper develops methods for assessing the sensitivity of empirical conclusions regarding conditional distributions to departures from the missing at random (MAR) assumption. We index the degree of nonignorable selection governing the missing data process by the maximal Kolmogorov–Smirnov...

We evaluate the distributional effects of a minimum wage introduction based on a data set with a moderate sample size but a large number of potential covariates. Therefore, the selection of relevant control variables at each distributional threshold is crucial to test hypotheses about the impact...

Job levels summarize the complexity, autonomy, and responsibility of task execution. Conceptually, job levels are related to the organization of production, are distinct from occupations, and can be constructed from data on task execution. We highlight their empirical role in matched...

Job levels summarize the complexity, autonomy, and responsibility of task execution. Conceptually, job levels are related to the organization of production, are distinct from occupations, and can be constructed from data on task execution. We highlight their empirical role in matched...

Job levels summarize the complexity, autonomy, and responsibility of task execution. Conceptually, job levels are related to the organization of production, are distinct from occupations, and can be constructed from data on task execution. We highlight their empirical role in matched...

This study compares the estimation errors of several present value discounting conventions (end-of-year, mid-year, and the more recently proposed harmonic mean convention) for a uniform distribution of intra-period cash flow - continuous and discrete. Our results show that the mid-year...