BIBLIOGRAPHY

Publications, working papers, and other research using data resources from IPUMS.

Full Citation

Title: Immigration, Local Crowd-Out and Undercoverage Bias

Citation Type: Working Paper

Publication Year: 2020

Abstract: Using decadal census data since 1960, I cannot reject the hypothesis that new immigrants crowd out existing residents from US commuting zones and states one-for-one. The effect is entirely driven by a reduction in internal inflows rather than larger outflows. My estimate is precise and robust to numerous specifications, as well as accounting for local dynamics - and I show how it can reconciled with apparently conflicting results in the literature. On imposing more structure, I attribute about 30 percent of the observed effect to mismeasurement - specifically under coverage of undocumented migrants. Though labor demand does respond, the burden of adjustment falls mostly on population. These results have important methodological implications for the estimation and interpretation of the impact of immigration, both locally and nationally.

Url: http://cep.lse.ac.uk/pubs/download/dp1669.pdf

User Submitted?: No

Authors: Amoir, Michael

Series Title: CEP Discussion Paper Series: Centre’s Labour Markets Programme

Publication Number: 1669

Institution: Centre for Economic Performance

Pages: 64

Publisher Location:

Data Collections: IPUMS NHGIS

Topics: Labor Force and Occupational Structure, Migration and Immigration, Population Mobility and Spatial Demography

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop