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Extrapolation Methods

  • Stanley K. Smith
  • Jeff Tayman
  • David A. Swanson
Chapter
Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 37)

Abstract

Trend extrapolation methods are those in which future values of a variable are determined solely by its historical values. These methods have often been used for constructing population projections and can be organized into three categories. Simple extrapolation methods are those that have simple mathematical structures and require data for only two points in time. Complex extrapolation methods require data from a number of points in time, have more complicated mathematical structures, and require statistical estimation of the model’s parameters. Ratio extrapolation methods express the population of a smaller unit as a proportion of the population of a larger unit. In this chapter, we describe and illustrate a number of trend extrapolation methods and evaluate their strengths and weaknesses when used for state and local population projections.

Keywords

Base Period Extrapolation Method Population Projection ARIMA Model Franklin County 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Stanley K. Smith
    • 1
  • Jeff Tayman
    • 2
  • David A. Swanson
    • 3
  1. 1.Bureau of Economic and Business ResearchUniversity of FloridaGainesvilleUSA
  2. 2.Economics DepartmentUniversity of California-San DiegoSan DiegoUSA
  3. 3.Department of SociologyUniversity of California RiversideRiversideUSA

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