Bayesian Analysis and Uncertainty in Economic Theory - Softcover

Softcover

ISBN 10: 9401079226 ISBN 13: 9789401079228

Publisher: Springer, 2011

Synopsis

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.

About this title

About the Author

Morris DeGroot (now deceased) was a great statistician and gentleman of the 20th Century. Says friend and coworker Joseph B. ("Jay") Kadane of DeGroot in the Foreword, "He was an institutional builder, as founder of the Statistics Department at Carnegie Mellon University and as first Executive Editor of Statistical Science. He was a wonderful colleague and friend, always ready for a chat about principles, a research problem, a departmental problem, a reference, or personal advice."

Edition details

• Publisher: Springer
• Publication date: 2011
• Language: English
• ISBN 10: 9401079226
• ISBN 13: 9789401079228
• Binding: Paperback
• Number of pages: 222
• Editor: Cyert Richard Michael