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Projecting Interregional Migration Balances within a Multiregional Cohort—Component Framework

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  • T Werschler
  • F Nault

Abstract

An examination of the projection output derived from fixed-rate and variable-rate interregional migration assumptions reveals the difficulty with which an acceptable range of migration scenarios is developed for use in Canadian population projections. The development of acceptable migration assumptions is limited by the choice of projection methodology, the requirements of projections within the present context, and the demographic characteristics of Canada's regions. In order to overcome these limitations, a technique for controlling projected interregional migration balances within a cohort—component framework is proposed. This approach improves the utility of the interregional projection methodology and meets all the requirements for population projections in the present context.

Suggested Citation

  • T Werschler & F Nault, 1996. "Projecting Interregional Migration Balances within a Multiregional Cohort—Component Framework," Environment and Planning A, , vol. 28(5), pages 769-782, May.
    • Handle: RePEc:sae:envira:v:28:y:1996:i:5:p:769-782
    DOI: 10.1068/a280769
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    References listed on IDEAS

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    1. Andrei Rogers, 1985. "Regional Population Projection Models," Wholbk, Regional Research Institute, West Virginia University, number 09 edited by Grant I. Thrall, Fall.
    2. Andrei Rogers, 1985. "Regional Population Projection Models," Book Chapters, in: Grant I. Thrall (ed.),Scientific Geography Series, pages 52, Regional Research Institute, West Virginia University.
    3. repec:brs:ecchap:09 is not listed on IDEAS
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    Cited by:

    1. Patrice Dion, 2017. "An Alternative to Fixed Transition Probabilities for the Projection of Interprovincial Migration in Canada," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(6), pages 871-901, December.
    2. Tom Wilson, 2016. "Evaluation of Alternative Cohort-Component Models for Local Area Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(2), pages 241-261, April.

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