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Identifying Rates of Emigration in the United States Using Administrative Earnings Records
Author
Source
International Journal of Population Research
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-08-28
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Economics & Business Administration
Economy
Abstract EN
This paper undertakes a new strategy to estimate emigration rates among US immigrants by inferring the probability of emigration using longitudinal administrative earnings data.
Two groups of emigrants are evaluated separately: those who emigrate from the United States and those who leave both the United States and the Social Security system.
About 1.0 to 1.5 percent of the foreign-born population emigrate from the USA every year, and between about 0.8 and 1.2 percent of foreign-born workers emigrate from the Social Security system.
Regression analysis suggests that immigrants with lower earnings are more likely to emigrate and that the likelihood of emigrating from the United States increases with age, but is unchanged for those leaving the US Social Security system.
American Psychological Association (APA)
Schwabish, Jonathan A.. 2011. Identifying Rates of Emigration in the United States Using Administrative Earnings Records. International Journal of Population Research،Vol. 2011, no. 2011, pp.1-17.
https://search.emarefa.net/detail/BIM-480348
Modern Language Association (MLA)
Schwabish, Jonathan A.. Identifying Rates of Emigration in the United States Using Administrative Earnings Records. International Journal of Population Research No. 2011 (2011), pp.1-17.
https://search.emarefa.net/detail/BIM-480348
American Medical Association (AMA)
Schwabish, Jonathan A.. Identifying Rates of Emigration in the United States Using Administrative Earnings Records. International Journal of Population Research. 2011. Vol. 2011, no. 2011, pp.1-17.
https://search.emarefa.net/detail/BIM-480348
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-480348