Integrates research in three fields -welfare economics, decision theory, and econometrics- to address uncertainty in the formation of public policy. Although all three fields are central to planning under uncertainty, they have interacted little with one another. This book enables researchers to interact constructively and build on mutual concerns.
Integrates research in three fields -welfare economics, decision theory, and econometrics- to address uncertainty in the formation of public policy. Although all three fields are central to planning under uncertainty, they have interacted little with one another. This book enables researchers to interact constructively and build on mutual concerns.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Charles F. Manski is Board of Trustees Professor in the Department of Economics and Institute for Policy Research at Northwestern University. He is a Member of the National Academy of Sciences and a Fellow of the American Academy of Arts and Sciences, the Econometric Society, the American Statistical Association, and the British Academy. His research spans econometrics, judgment and decision, and analysis of public policy.
Inhaltsangabe
Preface 1. Credible Planning Under Uncertainty Part I. Characterizing Uncertainty 2. Incredible Certitude 3. Identification of Treatment Response 4. Identification of Choice Behavior and Personal Welfare Part II. Analyses of Planning Problems: 5. Diversified Treatment under Ambiguity 6. Treatment with Data from Statistically Imprecise Trials 7. Personalized Treatment 8. Vaccination with Unknown Indirect Effects 9. Climate Planning with Uncertainty in Climate Modeling and Intergenerational Discounting 10. Looking Ahead.
Preface 1. Credible Planning Under Uncertainty Part I. Characterizing Uncertainty 2. Incredible Certitude 3. Identification of Treatment Response 4. Identification of Choice Behavior and Personal Welfare Part II. Analyses of Planning Problems: 5. Diversified Treatment under Ambiguity 6. Treatment with Data from Statistically Imprecise Trials 7. Personalized Treatment 8. Vaccination with Unknown Indirect Effects 9. Climate Planning with Uncertainty in Climate Modeling and Intergenerational Discounting 10. Looking Ahead.
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