The Collapse of the Soviet Union and the Productivity of American Mathematicians

It has been difficult to open up the black box of knowledge production. We use unique international data on the publications, citations, and affiliations of mathematicians to examine the impact of a large post-1992 influx of Soviet mathematicians on the productivity of their American counterparts. We find a negative productivity effect on those mathematicians whose research overlapped with that of the Soviets. We also document an increased mobility rate (to lower-quality institutions and out of active publishing) and a reduced likelihood of producing “home run” papers. Although the total product of the pre-existing American mathematicians shrank, the Soviet contribution to American mathematics filled in the gap. However, there is no evidence that the Soviets greatly increased the size of the “mathematics pie.” Finally, we find that there are significant international differences in the productivity effects of the collapse of the Soviet Union, and that these international differences can be explained by both differences in the size of the émigré flow into the various countries and in how connected each country is to the global market for mathematical publications.

How Much Do Immigration and Trade Affect Labor Market Outcomes?

macroeconomics, trade, labor markets, immigration

Searching for the Effect of Immigration on the Labor Market

We compare two approaches to analyzing the effects of immigration on the labor market and find that the estimated effect of immigration on U.S. native labor outcomes depends critically on the empirical experiment used. Area analyses contrast the level or change in immigration by area with the level or change in the outcomes of non- immigrant workers. Factor proportions analyses treat immigrants as a source of increased national supply of workers of the relevant skill. Cross-section comparisons of wages and immigration in the 1980 and 1990 Censuses yield unstable results casting doubt on the validity of these calculations. Analyses of changes over time for various education groups within regions give negative estimated immigration effects, which increase in magnitude the wider the area covered. Factor proportions calculations show that immigration was somewhat important in reducing the relative pay of U.S. high school dropouts during the 1980s, while immigration and trade contributed much more modestly to the falling pay of high school equivalent workers. The different effects of immigration on native outcomes in the area and factor proportions methodologies appear to result from the diluting effect of native migration flows across regions and failure to take adequate account of other regional labor market conditions in area comparisons.

Hispanic Immigration to the United States

This chapter presents some of the exceptional characteristics of recent Hispanic immigration to the United States. In 2005, there were nearly 40 million Hispanic immigrants and descendants of Hispanic immigrants living in the U.S. The assimilation experience of this large cultural group does not seem to be following the path past immigrants to the U.S. followed. Most third generation Hispanics in the U.S. still find themselves with income and education levels below the U.S. averages. Most forecasts predict that about 60 million Hispanics and Hispanic-Americans will be living in the U.S. by 2030

Migration Costs and Networks: household optimal investment in migration

International migration is an expensive form of investment, that only households relatively better off can afford. However poorer households have the higher incentive to migrate. Migration decision is conditional on the entry cost, expected returns and risks of migration. This paper, using data from Mexican rural and urban areas, examines the relation between household and community networks and costs and risks of migration focusing on the optimal investment in migration. To investigate an household optimal number of migrants this paper introduces a Three Step procedure to solve simultaneously for the endogeneity of network size and possible selection of migrants. The analysis confirms the inverted U-shaped relation between wealth and migration, stressing the importance of networks particularly in facilitating the migration of social strata belonging to the left tail of the income distribution. Moreover, in presence of sunk costs and/or high initial investment, household and community networks accomplish different functions