Identifying Rates of Emigration in the United States Using Administrative Earnings Records

Author

Schwabish, Jonathan A.

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