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Poisson Regression Models Of Canadian Census Division Migration Flows

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  • Robin Flowerdew
  • Carl Amrhein

Abstract

ABSTRACT Tax‐tile data are available for moves between census divisions in Canada on a year‐by‐year basis, and may be the best data source for studying migration flows between censuses. This paper reports the results of filling a series of models to me 1985 to 1986 flows using a form of regression analysis based on the Poisson distribution that is appropriate for count data. These models confirm results well‐known from interprovincial and intermetropolitan migration analysis, but also reveal some more surprising results.

Suggested Citation

  • Robin Flowerdew & Carl Amrhein, 1989. "Poisson Regression Models Of Canadian Census Division Migration Flows," Papers in Regional Science, Wiley Blackwell, vol. 67(1), pages 89-102, January.
    • Handle: RePEc:bla:presci:v:67:y:1989:i:1:p:89-102
    DOI: 10.1111/j.1435-5597.1989.tb01184.x
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    Cited by:

    1. David Amirault & Daniel de Munnik & Sarah Miller, 2016. "What drags and drives mobility? Explaining Canada's aggregate migration patterns," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 1035-1056, August.
    2. C G Amrhein & R Flowerdew, 1992. "The Effect of Data Aggregation on a Poisson Regression Model of Canadian Migration," Environment and Planning A, , vol. 24(10), pages 1381-1391, October.
    3. Iuliana Mihai & Isabel Novo‐Corti, 2022. "An exploratory analysis of the interactions between the determinants of migratory flows," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 163-182, February.
    4. R Flowerdew & P J Boyle, 1995. "Migration Models Incorporating Interdependence of Movers," Environment and Planning A, , vol. 27(9), pages 1493-1502, September.
    5. Juan C Duque & Henry Laniado & Adriano Polo, 2018. "S-maup: Statistical test to measure the sensitivity to the modifiable areal unit problem," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-25, November.

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