During the Age of Mass Migration , the US maintained an open border, absorbing 30 million European immigrants. Prior cross-sectional work on this era finds that immigrants initially held lower-paid occupations than natives but experienced rapid convergence over time. In newly-assembled panel data, we show that, in fact, the average immigrant did not face a substantial occupation-based earnings penalty upon first arrival and experienced occupational advancement at the same rate as natives. Cross-sectional patterns are driven by biases from declining arrival cohort quality and departures of negatively-selected return migrants. We show that assimilation patterns vary substantially across sending countries and persist in the second generation.Ran Abramitzky

No abstract

During the age of mass migration (1850–1913), one of the largest migration episodes in history, the United States maintained a nearly open border, allowing the study of migrant decisions unhindered by entry restrictions. We estimate the return to migration while accounting for migrant selection by comparing Norway-to-US migrants with their brothers who stayed in Norway in the late nineteenth century. We also compare fathers of migrants and nonmigrants by wealth and occupation. We find that the return to migration was relatively low (70 percent) and that migrants from urban areas were negatively selected from the sending population. “Keep, ancient lands, your storied pomp!” cries she With silent lips. “Give me your tired, your poor, Your huddled masses yearning to breathe free, The wretched refuse of your teeming shore. Send these, the homeless, tempest-tost to me, I lift my lamp beside the golden door!”——Emma Lazarus (1883)1

The recent digitization of complete count census data is an extraordinary opportunity for social scientists to create large longitudinal datasets by linking individuals from one census to another or from other sources to the census. We evaluate different automated methods for record linkage, performing a series of comparisons across methods and against hand linking. We have three main findings that lead us to conclude that automated methods perform well. First, a number of automated methods generate very low (less than 5%) false positive rates. The automated methods trace out a frontier illustrating the tradeoff between the false positive rate and the (true) match rate. Relative to more conservative automated algorithms, humans tend to link more observations but at a cost of higher rates of false positives. Second, when human linkers and algorithms use the same linking variables, there is relatively little disagreement between them. Third, across a number of plausible analyses, coefficient estimates and parameters of interest are very similar when using linked samples based on each of the different automated methods. We provide code and Stata commands to implement the various automated methods.

During the Age of Mass Migration (1850–1913), the United States maintained an open border, absorbing 30 million European immigrants. Prior cross-sectional work finds that immigrants initially held lower-paid occupations than natives but converged over time. In newly assembled panel data, we show that, in fact, the average immigrant did not face a substantial occupation-based earnings penalty upon first arrival and experienced occupational advancement at the same rate as natives. Cross-sectional patterns are driven by biases from declining arrival cohort skill level and departures of negatively selected return migrants. We show that assimilation patterns vary substantially across sending countries and persist in the second generation.

provided able research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

Using millions of historical census records and modern birth certificates, we document that immigrants assimilated into US society at similar rates in the past and present. We measure cultural assimilation as immigrants giving their children less foreign names after spending more time in the United States, and show that immigrants erase about one‑half of the naming gap with natives after 20 years both historically and today. Immigrants from poorer coun‑ tries choose more foreign names upon first arrival in both periods but are among the fastest to shift toward native‑sounding names. We find substantial cultural assimilation for immigrants of all education levels. (JEL J15, N31, N32, Z13)

Using novel data on 50,000 Norwegian men, we study the effect of wealth on the probability of internal or international migration during the Age of Mass Migration (1850-1913), a time when the US maintained an open border to European immigrants. We do so by exploiting variation in parental wealth and in expected inheritance by birth order, gender composition of siblings, and region. We find that wealth discouraged migration in this era, suggesting that the poor could be more likely to move if migration restrictions were lifted today. We discuss the implications of these historical findings to developing countries.