Structural and Microsimulation Models

Stanley K. Smith, Jeff Tayman and David A. Swanson
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Stanley K. Smith: University of Florida, Bureau of Economic and Business Research
Jeff Tayman: University of California-San Diego, Economics Department
David A. Swanson: University of California Riverside, Department of Sociology

Chapter Chapter 9 in A Practitioner's Guide to State and Local Population Projections, 2013, pp 215-249 from Springer

Abstract: Abstract Structural models use statistical techniques that base population changes on changes in one or more explanatory variables. They are invaluable for many planning and policy-making purposes because they explicitly account for the influence of factors such as employment, wage rates, land use, housing, and the transportation system. We discuss two types of structural models in this chapter. Economic-demographic models typically focus on larger geographic areas such as counties, metropolitan areas, and states whereas urban systems models typically focus on smaller areas such as census tracts, block groups, and individual blocks. We also discuss microsimulation models, which focus on projections of individual entities (e.g., persons, households, or vehicles). We close with a discussion of the strengths and weaknesses of structural and microsimulation models.

Keywords: Unemployment Rate; Labor Supply; Geographic Information System; Labor Demand; Migration Flow (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-94-007-7551-0_9

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DOI: 10.1007/978-94-007-7551-0_9

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