| Description |
1 online resource : illustrations |
| Contents |
pt. 1. pt. 1. Simulation Design for Policy Audiences: Informing Decision in the Face of Uncertainty / Jason S. Seligman -- Using Simulation as a Scenario Builder for Decision Making: A Case Study Using the Nurse-Family Partnership Program in Louisiana / Roy L. Heidelberg and James A. Richardson -- Public Policy Inquiry and Simulations / Anand Desai -- pt. 2. pt. 2 The Utility of Multilevel Modeling vs. Agent-Based Modeling in Examining Spatial Disparities in Diet and Health: The Case of Food Deserts / Ketra Rice -- Urban Renaissance or Invasion: Planning the Development of a Simulation Model of Gentrification / Adam Eckerd and Tony Reames -- Simulating Life Cycle Costs for Nuclear Facilities / Adam Eckerd, Peter Lufkin, Bernard G. Mattimore, Jon Miller and Anand Desai -- Simulating a Fraud Mechanism in Public Service Delivery / Yushim Kim -- Exploring Assumptions Through Possible Worlds: The Case of Homeownership / Roy L. Heidelberg -- pt. 3. pt. 3 Simulating the Multiple Impacts of Deferred Maintenance / Peter Lufkin, Rudy Hightower II, David Landsbergen and Anand Desai -- Pandemic Influenza Simulation with Public Avoidance Behavior / Wei Zhong, Tim Lant, Megan Jehn and Yushim Kim -- Iterative Storytelling in Public Policy: A Systems Thinking Approach / Rudy Hightower II |
| Summary |
Public policy and management problems have been described as poorly defined, messy, squishy, unstructured, intractable, and wicked. In a word, they are complex. This book illustrates the development and use of simulation models designed to capture some of the complexity inherent in the formulation, management, and implementation of policies aimed at addressing such problems. Simulation models have long existed at the fringes of policy inquiry but are not yet considered an essential component of the policy analyst's toolkit. However, this situation is likely to change because with improvements in computational power and software, simulation is now easier to include in the standard repertoire of research tools available for discovery and decision support. This volume provides both a conceptual rationale for using simulations to inform public policy and a practical introduction to how such models might be constructed and employed. The focus of these papers is on the uses of simulation to gain understanding and inform policy decisions and action. Techniques represented in this volume include Monte Carlo simulation, system dynamics and agent based modeling |
| Analysis |
Social sciences |
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Statistics |
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Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law |
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politicologie |
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political science |
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statistiek |
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toegepaste statistiek |
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applied statistics |
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sociale wetenschappen |
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Social Sciences (General) |
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Sociale wetenschappen (algemeen) |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Policy sciences -- Simulation methods
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POLITICAL SCIENCE -- Public Policy -- Social Services & Welfare.
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SOCIAL SCIENCE -- Human Services.
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Sciences sociales.
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Sciences humaines.
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Policy sciences -- Simulation methods
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| Form |
Electronic book
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| Author |
Desai, Anand
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| ISBN |
9781461416654 |
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1461416655 |
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