Julie L. Hotchkiss and Anil Rupasingha
Working Paper 2018-5
July 2018
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Consistent with predictions from the literature, we find that higher levels of in-migration dilute multiple dimensions of a community's level of social capital. The analysis employs a 2SLS methodology to account for potential endogeneity of migration.
JEL classification: R23, D71, C36, C38
Key words: social capital, migration, decennial census, social capital community benchmark survey, nonpublic data, simultaneous equations, endogeneity, factor analysis
https://doi.org/10.29338/wp2018-05
Comments and suggestions from colleagues at the Federal Reserve Bank of Atlanta are appreciated. Research assistance from Kalee Burns, Augustine Denteh, and Tom Zichong Qu is also appreciated. Any opinions and conclusions expressed herein are those of the authors and should not be attributed to the U.S. Census Bureau, the Federal Reserve Bank of Atlanta or the Federal Reserve System, the U.S. Department of Agriculture, or the Economic Research Service. All results have been reviewed to ensure that no confidential information is disclosed. The authors have no relevant or material financial interests that relate to the research described in this paper. Any remaining errors are the authors' responsibility.
Please address questions regarding content to Julie L. Hotchkiss (contact author), Federal Reserve Bank of Atlanta and Georgia State University, Research Department, 1000 Peachtree Street NE, Atlanta, GA 30309-4470, 404-498-8198, julie.l.hotchkiss@atl.frb.org, or Anil Rupasingha, U.S. Department of Agriculture, Economic Research Service, 1400 Independence Avenue SW, Mail Stop 1800, Washington, DC 20024, 202-694-5227, anil.rupasingha@ers.usda.gov.
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