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Bayesian Analysis and Uncertainty in Economic Theory

Bayesian Analysis and Uncertainty in Economic Theory
  • Author: Richard Michael Cyert
  • Publisher: Springer Science & Business Media
  • ISBN: 9789400931633
  • Page: 206
  • View: 211

We were attracted to the Bayesian approach because it seemed the best analytic framework available for dealing with decision making under uncertainty, and the research presented in this book has only served to strengthen our belief in the ...

We began this research with the objective of applying Bayesian methods of analysis to various aspects of economic theory. We were attracted to the Bayesian approach because it seemed the best analytic framework available for dealing with decision making under uncertainty, and the research presented in this book has only served to strengthen our belief in the appropriateness and usefulness of this methodology. More specif ically, we believe that the concept of organizational learning is funda mental to decision making under uncertainty in economics and that the Bayesian framework is the most appropriate for developing that concept. The central and unifying theme of this book is decision making under uncertainty in microeconomic theory. Our fundamental aim is to explore the ways in which firms and households make decisions and to develop models that have a strong empirical connection. Thus, we have attempted to contribute to economic theory by formalizing models of the actual pro cess of decision making under uncertainty. Bayesian methodology pro vides the appropriate vehicle for this formalization.


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Bayesian Analysis and Uncertainty in Economic Theory
Language: en
Pages: 206
Authors: Richard Michael Cyert
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

We began this research with the objective of applying Bayesian methods of analysis to various aspects of economic theory. We were attracted to the Bayesian approach because it seemed the best analytic framework available for dealing with decision making under uncertainty, and the research presented in this book has only
Bayesian Analysis and Uncertainty in Economic Theory
Language: en
Pages: 224
Authors: Richard Michael Cyert
Categories: Business & Economics
Type: BOOK - Published: 1987-07-30 - Publisher:

Books about Bayesian Analysis and Uncertainty in Economic Theory
Bayesian Analysis and Uncertainty in Economic Theory
Language: en
Pages: 206
Authors: Richard Michael Cyert, Morris H. DeGroot
Categories: Business & Economics
Type: BOOK - Published: 1987 - Publisher: Rowman & Littlefield

No descriptive material is available for this title.
Case Studies in Bayesian Statistics
Language: en
Pages: 471
Authors: Constantine Gatsonis, James S. Hodges, Robert E. Kass, Robert E. McCulloch, Peter Rossi, Nozer D. Singpurwalla
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

This third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasising the scientific context. The papers were presented and discussed at a workshop held at Carnegie-Mellon University, and this volume - dedicated to the memory of Morrie Groot-reproduces six invited papers, each with accompanying invited discussion, and
Theory and Practice in Policy Analysis
Language: en
Pages:
Authors: M. Granger Morgan
Categories: Political Science
Type: BOOK - Published: 2017-10-12 - Publisher: Cambridge University Press

Many books instruct readers on how to use the tools of policy analysis. This book is different. Its primary focus is on helping readers to look critically at the strengths, limitations, and the underlying assumptions analysts make when they use standard tools or problem framings. Using examples, many of which