Bayesian Models in Economic Theory
| Author | : Marcel Boyer |
| Publisher | : North Holland |
| Total Pages | : 336 |
| Release | : 1984 |
| Genre | : Business & Economics |
| ISBN | : |
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Bayesian Models In Economic Theory PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Bayesian Models In Economic Theory PDF full book. Access full book title Bayesian Models In Economic Theory.
Bayesian Analysis and Uncertainty in Economic Theory
| Author | : Richard Michael Cyert |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 278 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 9400931638 |
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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.
Contemporary Bayesian Econometrics and Statistics
| Author | : John Geweke |
| Publisher | : John Wiley & Sons |
| Total Pages | : 322 |
| Release | : 2005-10-03 |
| Genre | : Mathematics |
| ISBN | : 0471744727 |
Download Contemporary Bayesian Econometrics and Statistics Book in PDF, ePub and Kindle
Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.
Financial Risk Management with Bayesian Estimation of GARCH Models
| Author | : David Ardia |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 206 |
| Release | : 2008-05-08 |
| Genre | : Business & Economics |
| ISBN | : 3540786570 |
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This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this study aims to demonstrate, the Bayesian approach o ers an attractive alternative which enables small sample results, robust estimation, model discrimination and probabilistic statements on nonlinear functions of the model parameters. The author is indebted to numerous individuals for help in the preparation of this study. Primarily, I owe a great debt to Prof. Dr. Philippe J. Deschamps who inspired me to study Bayesian econometrics, suggested the subject, guided me under his supervision and encouraged my research. I would also like to thank Prof. Dr. Martin Wallmeier and my colleagues of the Department of Quantitative Economics, in particular Michael Beer, Roberto Cerratti and Gilles Kaltenrieder, for their useful comments and discussions. I am very indebted to my friends Carlos Ord as Criado, Julien A. Straubhaar, J er ^ ome Ph. A. Taillard and Mathieu Vuilleumier, for their support in the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.
Probability Foundations of Economic Theory
| Author | : Charles McCann |
| Publisher | : Routledge |
| Total Pages | : 188 |
| Release | : 2003-08-16 |
| Genre | : Business & Economics |
| ISBN | : 1134839138 |
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First published in 1994. Routledge is an imprint of Taylor & Francis, an informa company.
Bayesian Economics Through Numerical Methods
| Author | : Jeffrey H. Dorfman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 115 |
| Release | : 2006-03-31 |
| Genre | : Business & Economics |
| ISBN | : 0387226354 |
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Providing researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies, this book covers the full range of the new numerical techniques which have been developed over the last thirty years. Notably, these are: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems, and includes applications drawn from a variety of different fields within economics, while also providing a quick overview of the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing topic.
Bayesian Analysis and Uncertanty in Economic Theory
| Author | : Richard Michael Cyert |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 1987 |
| Genre | : |
| ISBN | : |
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Strategic Economic Decision-Making
| Author | : Jeff Grover |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 122 |
| Release | : 2012-12-05 |
| Genre | : Mathematics |
| ISBN | : 1461460409 |
Download Strategic Economic Decision-Making Book in PDF, ePub and Kindle
Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems is a quick primer on the topic that introduces readers to the basic complexities and nuances associated with learning Bayes’ theory and inverse probability for the first time. This brief is meant for non-statisticians who are unfamiliar with Bayes’ theorem, walking them through the theoretical phases of set and sample set selection, the axioms of probability, probability theory as it pertains to Bayes’ theorem, and posterior probabilities. All of these concepts are explained as they appear in the methodology of fitting a Bayes’ model, and upon completion of the text readers will be able to mathematically determine posterior probabilities of multiple independent nodes across any system available for study. Very little has been published in the area of discrete Bayes’ theory, and this brief will appeal to non-statisticians conducting research in the fields of engineering, computing, life sciences, and social sciences.
Contemporary Issues in Economics and Econometrics
| Author | : Stan Hurn |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 264 |
| Release | : 2004-01-01 |
| Genre | : Business & Economics |
| ISBN | : 9781782543756 |
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'All of the papers share a high level of practical relevance and usefulness that is sometimes missing in economic research. Indeed, the reader will find that very issue taken up as the theme of Paul Klemperer's delightful essay, and all five papers under the heading of "econometric theory" will be extremely useful for most applied researchers. I hope that the reader will also share my feeling of gratitude toward Ralf Becker and Stan Hurn for putting together this outstanding permanent record of some of the conference's most important contributions.' - From the foreword by James D. Hamilton, University of California, San Diego, US This authoritative collection of papers covers a broad spectrum of topics in theoretical and applied economics and econometrics. The tone of the book is set by Paul Klemperer's contribution on using and abusing economic theory, in which academics are encouraged to widen the scope of their analyses beyond the confines of elegant models which sometimes lack 'real-world' detail. As a result, many of the chapters in this volume share a high degree of practical relevance.
Probability and Profit
| Author | : William Fellner |
| Publisher | : Homewood, Ill. : Irwin |
| Total Pages | : 264 |
| Release | : 1965 |
| Genre | : Probabilities |
| ISBN | : |
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Economic theory of subjective probability, utility and profit - probability being regarded as a concept of decision making theory. Application of theory. Annotated bibliography pp. 211 to 233.
