Title

Poisson regression models of Canadian census division migration flows

Document Type

Article

Department

Office of the Provost

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.

Comments

This work was published before the author joined Aga Khan University.

Publication

Papers of the Regional Science Association

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