The wage impact of immigration depends crucially on the elasticity of substitution between similarly skilled immigrants and natives and the elasticity of substitution between high school dropouts and graduates. This paper revisits the estimation of these elasticities. The U.S. data indicate that...

Job choice by high-skilled foreign-born workers in the US correlates strongly with country of origin. We apply a Frechet-Roy model of occupational choice to evaluate the causes of immigrant sorting. In a gravity specification, we find that revealed comparative advantage in the US is stronger for...

In this paper, we use data from the Mexico and U.S. population censuses to examine who migrates from Mexico to the United States and how the skills and economic performance of these individuals compare to those who remain in Mexico. We test Borjas' negative-selection hypothesis that in poor...

In a recent paper, Ottaviano and Peri (2007a) report evidence that immigrant and native workers are not perfect substitutes within narrowly defined skill groups. The resulting complementarities have important policy implications because immigration may then raise the wage of many native-born...

Two prominent features of international labor movements are that the more educated are more likely to emigrate (positive selection) and more-educated migrants are more likely to settle in destination countries with high rewards to skill (positive sorting). Using data on emigrant stocks by...

Recent literature on the labor-market effects of U.S. immigration tends to find little correlation between regional immigrant inflows and changes in relative regional wages. In this paper we examine whether immigration, or endowment shocks more generally, altered U.S. regional output mixes as...

In this paper, we examine the impact of government enforcement of the U.S.-Mexican border on wages in the border regions of the United States and Mexico. The U.S. Border Patrol polices U.S. boundaries, seeking to apprehend any individual attempting to enter the United States illegally. These...

I examine the specialization of US commuting zones in AI-related occupations over the 2000 to 2018 period. I define AI-related jobs based on keywords in Census occupational titles. Using the approach in Lin (2011) to identify new work, I measure job growth related to AI by weighting employment...

Abstract We evaluate the duration of the China trade shock and its impact on a wide range of outcomes over the period 2000 to 2019. The shock plateaued in 2010, enabling analysis of its effects for nearly a decade past its culmination. Adverse impacts of import competition on manufacturing...

We apply deep learning to daytime satellite imagery to predict changes in income and population at high spatial resolution in US data. For grid cells with lateral dimensions of 1.2km and 2.4km (where the average US county has dimension of 55.6km), our model predictions achieve R2 values of 0.85...