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Inferring Directional Migration Propensities from the Migration Propensities of Infants in the United States

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  • ANDREI ROGERS
  • BRYAN JONES

Abstract

Beginning with the 2010 decennial census, the U.S. Census Bureau plans to drop its long-form questionnaire and to replace it with the American Community Survey (ACS). The resulting absence of the larger sample provided by the census count will complicate the measurement and analysis of internal migration flows. In addition, the strategy of averaging accumulated samples over time will mix changing migration patterns. The migration question will refer to a one-year time interval instead of the five-year interval used in the censuses between 1960 and 2000, complicating historical comparisons and the production of multiregional projections based on five-year age groups. Consequently, students of territorial mobility increasingly will find it necessary to complement or augment possibly inadequate data collected on migration with estimates obtained by means of “indirect estimation.” A method is presented that allows one to infer age-specific directional migration propensities at the regional level from birthplace-specific infant population data, which approximates infant migration propensities, and from these infers the migration propensities of all other ages. The method is applied to at the nine-division spatial scale.

Suggested Citation

  • Andrei Rogers & Bryan Jones, 2008. "Inferring Directional Migration Propensities from the Migration Propensities of Infants in the United States," Mathematical Population Studies, Taylor & Francis Journals, vol. 15(3), pages 182-211.
    • Handle: RePEc:taf:mpopst:v:15:y:2008:i:3:p:182-211
    DOI: 10.1080/08898480802222283
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    References listed on IDEAS

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    1. Andrei Rogers & Bryan Jones & Virgilio Partida & Salut Muhidin, 2007. "Inferring migration flows from the migration propensities of infants: Mexico and Indonesia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 443-465, June.
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