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.
and participants in the UC Berkeley complete count census workshop. 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 They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.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 father-son pairs spanning more than 100 years of US history, we find that children of immigrants from nearly every sending country have higher rates of upward mobility than children of the US-born. Immigrants’ advantage is similar historically and today despite dramatic shifts in sending countries and US immigration policy. Immigrants achieve this advantage in part by choosing to settle in locations that offer better prospects for their children. (JEL J15, J18, J62, K37, N31, N32)
I compare rates of intergenerational occupational mobility across four countries in the late nineteenth century: 1869–1895 Argentina, 1850–1880 United States, 1851–1881 Britain, and 1865–1900 Norway. Argentina and the United States had similar levels of intergenerational mobility, and these levels were above those of Britain and Norway. These findings suggest that the higher mobility of nineteenth-century United States relative to Britain might not have been a reflection of “American exceptionalism,” but rather a manifestation of more widespread differences between settler economies of the New World and Europe.
Using millions of father-son pairs spanning more than 100 years of US history, we find that children of immigrants from nearly every sending country have higher rates of upward mobility than children of the US-born. Immigrants' advantage is similar historically and today despite dramatic shifts in sending countries and US immigration policy. In the past, this advantage can be explained by immigrants moving to areas with better prospects for their children and by "underplacement" of the first generation in the income distribution. These findings are consistent with the "American Dream" view that even poorer immigrants can improve their children's prospects.
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