Public policies often fail to achieve their intended result due to the complexity of both the environment and the policy making process. In this article, we review the benefits of using small system dynamics models to address public policy questions. First we discuss the main difficulties inherent in the public policymaking process. Then, we discuss how small system dynamics models can address policymaking difficulties by examining two promising examples: the first in the domain of urban planning and the second in the domain of social welfare. These examples show how we can get insightful and important lessons for policy making that are exclusive to the endogenous and aggregate perspective in modeling and simulation.

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Date created

• 2009 July 26-2009 July 30

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

4818cb531cdd68d6ec6af3f291216fc7

Scope and Contents

Part of

b3584c6b53c3f58e0202549d7d851f84

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Part of

23d738ba88f8333bc39725f9cb5bd0b8

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives