Poisson regression models of Canadian census division migration flows

Robin Flowerdew; Carl Amrhein

doi:10.1007/BF01934669

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
Pages (from-to)	89-102
Number of pages	14
Journal	Papers in Regional Science
Volume	67
Issue number	1
DOIs	https://doi.org/10.1007/BF01934669
Publication status	Published - Dec 1989
Externally published	Yes

Access to Document

10.1007/BF01934669

Cite this

@article{f078282ec07e47a3a7b256d9894fc515,

title = "Poisson regression models of Canadian census division migration flows",

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.",

author = "Robin Flowerdew and Carl Amrhein",

year = "1989",

month = dec,

doi = "10.1007/BF01934669",

language = "English",

volume = "67",

pages = "89--102",

journal = "Papers in Regional Science",

issn = "1056-8190",

publisher = "Wiley-Blackwell",

number = "1",

}

TY - JOUR

T1 - Poisson regression models of Canadian census division migration flows

AU - Flowerdew, Robin

AU - Amrhein, Carl

PY - 1989/12

Y1 - 1989/12

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=0024854008&partnerID=8YFLogxK

U2 - 10.1007/BF01934669

DO - 10.1007/BF01934669

M3 - Article

C2 - 12316947

AN - SCOPUS:0024854008

SN - 1056-8190

VL - 67

SP - 89

EP - 102

JO - Papers in Regional Science

JF - Papers in Regional Science

IS - 1

ER -

Poisson regression models of Canadian census division migration flows

Abstract

Access to Document

Other files and links

Fingerprint

Cite this