In this paper we analyze the long-run impact of immigration on employment, productivity, and its skill bias. We use the existence of immigrant communities across U.S. states before 1960 and the distance from the Mexican border as instruments for immigration flows. We find no evidence that immigrants crowded out employment. At the same time, we find that immigration had a strong, positive association with total factor productivity and a negative association with the high skill bias of production technologies. The results are consistent with the idea that immigrants promoted efficient task specialization, thus increasing TFP, and also promoted the adoption of unskilled-efficient technologies.

Knowledge flows within and across countries may have important consequences for both productivity and innovation. We use data on 1.5 million patents and 4.5 million citations to estimate knowledge flows at the frontier of technology across 147 subnational regions during 1975-1996 within the frame of a gravity-like equation. We estimate that only 20% of average knowledge is learned outside the average region of origin, and only 9% is learned outside the country of origin. However, knowledge in the computer sector flows substantially farther, as does knowledge generated by technological leaders. In comparison with trade flows, we see that knowledge flows reach much farther. External accessible R&D gained through these flows has a strong positive effect on innovative activity for a panel of 113 European and North American regions over 22 years. © 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

The literature on schooling externalities in U.S. cities and states is rather mixed: positive external effects of average education levels are hardly found while positive externalities from the share of college graduates are more often identified. We propose a simple model to reconcile this mixed evidence. Our model predicts positive externalities from increased college education and negligible external effects from high school education. Using compulsory attendance/child labor laws, push-driven immigration of highly educated workers, and the location of land-grant colleges as instruments for schooling attainments, we test and confirm the model predictions with data on U.S. states for the period 1960–2000.

Noncognitive characteristics and personality traits can be strong predictors of economic and social outcomes of individuals. In this paper, using data on cognitive ability and psychologist-assessed “sociability” and “adaptability” linked to administrative data for the male 1932–33 birth cohort in Norway, we analyze how these three characteristics affect men’s probability to migrate across labor markets. We find that higher adaptability, the capacity to adjust to new environments and situations, and higher cognitive ability are significant predictors of the probability to migrate. Adaptability is a particularly strong migration predictor for individuals with low cognitive ability or low socioeconomic background.

We review Immigration Economics by George J. Borjas, published in 2014 by Harvard University Press. The book is written as a graduate-level textbook, and summarizes and updates many of Borjas's important contributions to the field over the past thirty years. A key message of the book is that immigration poses significant costs to many members of the host-country labor market. Though the theoretical and econometric approaches presented in the book will be very useful for students and specialists in the field, we argue that the book presents a one-sided view of immigration, with little or no attention to the growing body of work that offers a more nuanced picture of how immigrants fit into the host-country market and affect native workers. (JEL A22, J11, J24, J31, J61, R23)

The identification of aggregate human-capital externalities is still not fully understood. The existing (Mincerian) approach confounds positive externalities with wage changes due to a downward sloping demand curve for human capital. As a result, the Mincerian approach yields positive externalities even when wages equal marginal social products. We propose an approach that identifies human-capital externalities, whether or not aggregate demand for human capital slopes downward. Another advantage of our approach is that it does not require estimates of the individual return to human capital. Applications to U.S. cities and states between 1970 and 1990 yield no evidence of significant average-schooling externalities. Copyright 2006, Wiley-Blackwell.

Abstract Positive assortative matching increases both the wages of more productive workers and wage dispersion. We study the effect of immigration on positive assortative matching using French employer-employee data from 1995 to 2005. We find that increases in the share of immigrants, driven by historical networks across local labor markets, generated stronger positive assortative matching between workers and firms. We present evidence suggesting that this effect was associated to higher wages for more productive workers and that the findings are consistent with increased workers' screening by firms.

We estimate the aggregate long-run elasticity of substitution between more educated workers and less educated workers (the slope of the inverse demand curve for more relative to less educated workers) at the U.S. state level. Our data come from the (five) 1950–1990 decennial censuses. Our empirical approach allows for state and time fixed effects and relies on time- and state-dependent child labor and compulsory school attendance laws as instruments for (endogenous) changes in the relative supply of more educated workers. We find the aggregate long-run elasticity of substitution between more and less educated workers to be around 1.5.

This paper reviews, reanalyzes, and extends to the long run the estimated effects of integration polices on the employment probability and earnings of refugees in Denmark. We first describe the dynamics of labor market outcomes of refugees in Denmark. We then find that increased language training and initial placement in strong labor markets improved refugees’ long-run labor market outcomes, while cutting initial welfare payments and placing refugees near other refugees did not improve them. Policies focused on matching refugees with occupations experiencing shortages have positive short-run effects, but we cannot yet assess their long-run effects.

Science, technology, engineering, and mathematics (STEM) workers are fundamental inputs for innovation, the main driver of productivity growth. We identify the long-run effect of STEM employment growth on outcomes for native workers across 219 US cities from 1990 to 2010. We use the 1980 distribution of foreign-born STEM workers and variation in the H-1B visa program to identify supply-driven STEM increases across cities. Increases in STEM workers are associated with significant wage gains for college-educated natives. Gains for non-college-educated natives are smaller but still significant. Our results imply that foreign STEM increased total factor productivity growth in US cities.