POISSON REGRESSION MODELS OF CANADIAN CENSUS DIVISION MIGRATION FLOWS

Robin Flowerdew · Carl Amrhein

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Regional Socio-Economic Development Trends Urban, Neighborhood, and Segregation Studies Migration and Labor Dynamics

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.

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1985HUMAN MIGRATION: THEORY, MODELS, AND EMPIRICAL STUDIES*1984Gravity and Spatial Interaction Models 1982A METHOD OF FITTING THE GRAVITY MODEL BASED ON THE POISSON DISTRIBUTION*1971Migration Flows, Their Determinants and the Effects of Return Migration 1982Self-Selection and Interprovincial Migration in Canada 1988Fitting Constrained Poisson Regression Models to Interurban Migration Flows

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