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oapen-20.500.12657-57840
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oapen-20.500.12657-578402022-08-09T03:03:17Z Chapter 22 Simulation Modeling as a Policy Tool Furtado, Bernardo Alves public administration; policy; future research directions; policy analysis; policy tools; public administration; public management; policymaking; public policy bic Book Industry Communication::J Society & social sciences::JP Politics & government bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPB Comparative politics bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration 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. 2022-08-08T09:20:10Z 2022-08-08T09:20:10Z 2023 chapter 9780367757748 9780367757809 https://library.oapen.org/handle/20.500.12657/57840 eng application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9781003163954_10.4324_9781003163954-27.pdf Taylor & Francis The Routledge Handbook of Policy Tools Routledge 10.4324/9781003163954-27 10.4324/9781003163954-27 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb 4c485893-652d-4ec5-aa7d-89bf7b255899 ece74c18-4124-4fea-8bb8-e7416d528f39 9780367757748 9780367757809 Routledge 12 Canada Research Chairs Chaires de recherche du Canada open access
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| institution |
OAPEN
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| collection |
DSpace
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| language |
English
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| description |
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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| title |
9781003163954_10.4324_9781003163954-27.pdf
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| spellingShingle |
9781003163954_10.4324_9781003163954-27.pdf
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| title_short |
9781003163954_10.4324_9781003163954-27.pdf
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| title_full |
9781003163954_10.4324_9781003163954-27.pdf
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| title_fullStr |
9781003163954_10.4324_9781003163954-27.pdf
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| title_full_unstemmed |
9781003163954_10.4324_9781003163954-27.pdf
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| title_sort |
9781003163954_10.4324_9781003163954-27.pdf
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| publisher |
Taylor & Francis
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| publishDate |
2022
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| _version_ |
1771297418057351168
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