Forecasting interstate migration with limited data: A demographic–economic approach

Andrew M. Isserman, David A. Plane, Peter A. Rogerson, Paul M. Beaumont

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


The limitations of available migration data preclude a time-series approach to modeling interstate migration. The method presented here combines aspects of the demographic and economic approaches to forecasting migration in a manner compatible with existing data. Migration rates are modeled to change in response to changes in economic conditions. When applied to recently constructed data on migration based on income tax returns and then compared to standard demographic projections, the demographic–economic approach has a 20% lower total error in forecasting net migration by state for cohorts of laborforce age.

Original languageEnglish (US)
Pages (from-to)277-285
Number of pages9
JournalJournal of the American Statistical Association
Issue number390
StatePublished - Jun 1985


  • Cohort-component model
  • Labor-force migration
  • Markov models
  • Migration
  • Population forecasting

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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