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Regression Methods

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Subnational Population Estimates

Part of the book series: The Springer Series on Demographic Methods and Population Analysis ((PSDE,volume 31))

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Abstract

Regression-based methods for estimating population date back to E. C. Snow (1911), who published “The application of the method of multiple correlation to the estimation of post-censal populations” in the Journal of the Royal Statistical Society. Snow’s paper represents the first published description of the use of multiple regression in the estimation of population. It also discusses other methods, pointing out their strengths and weaknesses, then describes the model framework and the data used in the regression application, and applies it to districts in the U. K. In addition to being the first published report in English of the use of regression for population estimates, it sets the stage for subsequent papers by discussing it relative to other methods. A discussion is published with the paper that contains many important insights that are today commonplace in the use of multiple regression not only for making population estimates, but for general use.

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Appendix

Appendix

Table 8.2a Registered Voters, 1990 and 2000 Data
Table 8.2b Registered Autos, 1990 and 2000 Data
Table 8.2c Enrollment in Grades 1-8, 1990 and 2000 Data
Table 8.2d Total Population, 1990 and 2000 Data
Table 8.2e Registered Voters, 2000 and 2005 Data
Table 8.2f Registered Autos, 2000 and 2005 Data
Table 8.2g Enrollment in Grades 1-8, 2000 and 2005 Data
Table 8.2h Estimated Population 2005

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Swanson, D.A., Tayman, J. (2012). Regression Methods. In: Subnational Population Estimates. The Springer Series on Demographic Methods and Population Analysis, vol 31. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8954-0_8

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