Poisson regression models of Canadian census division migration flows

Robin Flowerdew; Carl Amrhein

doi:10.1111/j.1435-5597.1989.tb01184.x

Poisson regression models of Canadian census division migration flows

Robin Flowerdew, Carl Amrhein

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

Tax-file 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 fitting a series of models to the 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.

Original language	English (US)
Pages (from-to)	89-102
Number of pages	14
Journal	Papers in Regional Science
Volume	67
Issue number	1
DOIs	https://doi.org/10.1111/j.1435-5597.1989.tb01184.x
Publication status	Published - Dec 1989
Externally published	Yes

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10.1111/j.1435-5597.1989.tb01184.x

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AB - Tax-file 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 fitting a series of models to the 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.

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Poisson regression models of Canadian census division migration flows

Abstract

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