POISSON REGRESSION MODELS OF CANADIAN CENSUS DIVISION MIGRATION FLOWS

IF 2.3 3区 经济学 Q2 ECONOMICS Papers in Regional Science Pub Date : 1989-01-01 Epub Date: 2005-01-14 DOI:10.1111/j.1435-5597.1989.tb01184.x
Robin Flowerdew , Carl Amrhein
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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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加拿大人口普查区划移民流动的泊松回归模型
税收数据可用于加拿大每年人口普查部门之间的流动,可能是研究人口普查之间移民流动的最佳数据来源。本文报告了用一种适合于计数数据的基于泊松分布的回归分析形式对我1985年至1986年流动的一系列模型进行填充的结果。这些模型证实了省际和都市间迁移分析的结果,但也揭示了一些更令人惊讶的结果。
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来源期刊
CiteScore
4.40
自引率
4.80%
发文量
58
期刊介绍: Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.
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