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Foreign-born emigration: a new approach and estimates based on matched CPS files.
Jennifer Van Hook1, Weiwei Zhang, Frank D Bean
1Department of Sociology, Bowling Green State University, Bowling Green, OH 43403, USA. vanhook@bgnet.bgsu.edu
Estimating foreign-born emigration is challenging. A new method using Current Population Survey (CPS) data improves accuracy for recent arrivals, offering better insights into demographic changes.
Area of Science:
- Demography
- Sociology
- Population Studies
Background:
- Accurate population estimates require measuring fertility, mortality, immigration, and emigration.
- Foreign-born emigration is particularly difficult to quantify using traditional indirect methods.
- Residual methods are sensitive to errors and unsuitable for recent immigrant populations.
Purpose of the Study:
- To introduce a novel method for estimating foreign-born emigration.
- To leverage the Current Population Survey (CPS) sample design for improved emigration measurement.
- To provide more accurate emigration data, especially for recent arrivals.
Main Methods:
- Utilizing longitudinal data from repeated interviews within the Current Population Survey (CPS).
- Tracking individuals present in the first March Supplement but absent in the subsequent one.
- Applying statistical techniques to estimate emigration proportions among non-present individuals.
Main Results:
- The new method yields emigration estimates comparable to residual methods for long-term residents.
- Higher and seemingly more accurate emigration estimates were observed for recent arrivals.
- Estimates were generated by age, sex, region of birth, and duration of residence, subject to sample size constraints.
Conclusions:
- The proposed CPS-based method offers a more accurate approach to estimating foreign-born emigration, particularly for recent immigrants.
- This method enhances the utility of postcensal population estimates by improving a key demographic component.
- Further research may refine estimates by addressing sample size limitations and exploring additional data sources.
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