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Empirical Evidence Using Microsimulation Models in the Social Sciences

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter focuses on some empirical evidence in areas of social sciences where microsimulation plays a relevant role both for academic and policy achievements. It covers some of the most relevant uses of microsimulation techniques in economics, focusing on the social impact of tax and benefit policies and the use of microsimulation to estimate individual behavior. The chapter reviews some important and recent approaches and applications in economics, demography, geography, transport and environmental sciences, and identifies the intersections between the analyses performed in the different areas both in terms of methodology and content. Furthermore, it highlights the potential overlaps between microsimulation models and agent-based modeling, despite the lack of consensus in the literature on a unique definition of the terms “microsimulation” and “agent-based” models across disciplines.

Original languageEnglish
Title of host publicationNew Horizons in Modeling and Simulation for Social Epidemiology and Public Health
Publisherwiley
Pages107-148
Number of pages42
ISBN (Electronic)9781118589397
ISBN (Print)9781118589304
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes

Keywords

  • agent-based modeling
  • demography
  • economics
  • environmental sciences
  • geography
  • microsimulation models
  • social sciences
  • transport-related research

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