The American Community Survey's Interstate Migration Data: Strategies for Smoothing Irregular Age Patterns
The American Community Survey's Interstate Migration Data: Strategies for Smoothing Irregular Age Patterns
Age- and origin-destination-specific flows obtained from population samples often contain irregularities. The reason for this has mostly to do with the fact that migrations are relatively rare events. Biases in the analysis of migration flows can arise if these irregularities are not corrected for. Furthermore, accurate migration data are needed to understand population change and migration behavior. In this paper, we illustrate some typical examples of age-specific migration flows with irregular patterns, using the 2000-2005 American Community Survey (ACS) data. We then demonstrate how model migration schedules, log-linear models or a combination of both can be used to smooth the irregularities.
Southampton Statistical Sciences Research Institute, University of Southampton
Raymer, James
ed2973c1-b78d-4166-baf3-4e18f1b24070
Rogers, Andrei
ed63d88a-6d71-4284-8d18-a0cd4a802371
13 September 2007
Raymer, James
ed2973c1-b78d-4166-baf3-4e18f1b24070
Rogers, Andrei
ed63d88a-6d71-4284-8d18-a0cd4a802371
Raymer, James and Rogers, Andrei
(2007)
The American Community Survey's Interstate Migration Data: Strategies for Smoothing Irregular Age Patterns
(S3RI Methodology Working Papers, M07/13)
Southampton, UK.
Southampton Statistical Sciences Research Institute, University of Southampton
18pp.
Record type:
Monograph
(Working Paper)
Abstract
Age- and origin-destination-specific flows obtained from population samples often contain irregularities. The reason for this has mostly to do with the fact that migrations are relatively rare events. Biases in the analysis of migration flows can arise if these irregularities are not corrected for. Furthermore, accurate migration data are needed to understand population change and migration behavior. In this paper, we illustrate some typical examples of age-specific migration flows with irregular patterns, using the 2000-2005 American Community Survey (ACS) data. We then demonstrate how model migration schedules, log-linear models or a combination of both can be used to smooth the irregularities.
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48352-01.pdf
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Published date: 13 September 2007
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Local EPrints ID: 48352
URI: http://eprints.soton.ac.uk/id/eprint/48352
PURE UUID: 0ab8bd64-ab18-4a25-a123-96d98e0eefb0
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Date deposited: 13 Sep 2007
Last modified: 20 Feb 2024 03:21
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Author:
James Raymer
Author:
Andrei Rogers
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