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Chapter 22 Simulation Modeling as a Policy Tool

This chapter describes, justifies, presents the pros and cons of and illustrates the use of simulation modeling as a handy, cost-effective and agile tool for policymakers. Simulation modeling is flexible enough to accommodate different levels of detail, precision and time frameworks. It also serv...

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Sábháilte in:
Príomhchruthaitheoir: Furtado, Bernardo Alves
Formáid: Online
Teanga:Béarla
Foilsithe / Cruthaithe: Taylor & Francis 2022
Ábhair:
public administration; policy; future research directions; policy analysis; policy tools; public administration; public management; policymaking; public policy
thema EDItEUR::J Society and Social Sciences::JP Politics and government
thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies
thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPB Comparative politics
thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration
Rochtain ar líne:https://library.oapen.org/handle/20.500.12657/57840
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Achoimre:This chapter describes, justifies, presents the pros and cons of and illustrates the use of simulation modeling as a handy, cost-effective and agile tool for policymakers. Simulation modeling is flexible enough to accommodate different levels of detail, precision and time frameworks. It also serves the purpose of a concrete communication platform that facilitates scenario analysis, what-if alternatives and forward looking. We specifically define agent-based modeling within the larger simulation domain, provide a brief overview of other computation modeling methodologies and discuss the concepts of multiple models, verification, validation and calibration. The conceptual framework section closes with a discussion of advantages and disadvantages of using simulation modeling for policy at various stages of implementation. Finally, we present a panorama of actual applications of simulation modeling in policy, with an emphasis on economic analysis.

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