Structural and Microsimulation Models

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


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.


Unemployment Rate Labor Supply Geographic Information System Labor Demand Migration Flow 
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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