Regression Methods

David A. Swanson and Jeff Tayman
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David A. Swanson: University of California Riverside
Jeff Tayman: University of California San Diego, Department of Economics

Chapter Chapter 8 in Subnational Population Estimates, 2012, pp 165-185 from Springer

Abstract: 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.

Keywords: Model Invariance; County Population; Census Count; Parent Area; Forecast Interval (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-90-481-8954-0_8

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