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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...
Persistent link: https://www.econbiz.de/10012471722
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...
Persistent link: https://www.econbiz.de/10012471747
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...
Persistent link: https://www.econbiz.de/10012510549
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...
Persistent link: https://www.econbiz.de/10012660079
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...
Persistent link: https://www.econbiz.de/10012660096
Recent sanctions on the use of Russia's international reserve assets seem likely to reduce the appeal of US dollar reserves as a "shock absorber" for international payments. But international reserves are also a means to reassure foreign investors that problematic countries will not confiscate...
Persistent link: https://www.econbiz.de/10013191038
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...
Persistent link: https://www.econbiz.de/10012794597