An increasingly influential "technological-discontinuity" paradigm suggests that IT-induced technological changes are rapidly raising productivity while making workers redundant. This paper explores the evidence for this view among the IT-using U.S. manufacturing industries. There is some...

We juxtapose the effects of trade and technology on employment in U.S. local labor markets between 1990 and 2007. Labor markets whose initial industry composition exposes them to rising Chinese import competition experience significant falls in employment, particularly in manufacturing and among...

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...

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...

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...

We use census data for the US, Canada, Spain, and UK to estimate bilateral migration rates to these countries from 25 Latin American and Caribbean nations over the period 1980 to 2005. Latin American migration to the US is responsive to labor supply shocks, as predicted by earlier changes in...

In this paper, we develop a simple empirical method to test two alternative versions of the Melitz (2003) model, one with global fixed export costs and one with bilateral fixed export costs. With global costs, import sales per product variety (relative to domestic sales per variety) are...