Future Directions in Population Estimation

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 18 in Subnational Population Estimates, 2012, pp 357-368 from Springer

Abstract: Abstract Where estimation methods primarily differ is in the specific variables and data sources considered by the analyst and the ways in which those variables and data sources are related to each other. Future changes in the field of population estimation will therefore stem from changes in the availability of historical data, the tools for organizing and manipulating those data, our understanding of how different variables interact to determine population change, and our ability to build new models or develop new methods based on these new insights. The inspired analyst will incorporate factors not previously considered in developing estimates, or will put them together in creative new ways.

Keywords: Geographic Information System; Spatial Autocorrelation; Census Tract; Population Estimate; American Community Survey (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-90-481-8954-0_18

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