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Oxford Handbooks Ser.: Oxford Handbook of Bayesian Econometrics by Gary Koop (2011, Hardcover)
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About this product
Product Identifiers
PublisherOxford University Press, Incorporated
ISBN-100199559082
ISBN-139780199559084
eBay Product ID (ePID)102968561
Product Key Features
Number of Pages572 Pages, 576 Pages
Publication NameOxford Handbook of Bayesian Econometrics
LanguageEnglish
SubjectEconomics / Microeconomics, Economics / General, Econometrics, Probability & Statistics / Bayesian Analysis
Publication Year2011
TypeTextbook
AuthorGary Koop
Subject AreaMathematics, Business & Economics
SeriesOxford Handbooks Ser.
FormatHardcover
Dimensions
Item Height1.6 in
Item Weight41.2 Oz
Item Length6.8 in
Item Width9.7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2011-934688
TitleLeadingThe
ReviewsThis Handbook is an excellent piece of scholarly work that displays the full power of the Bayesian method.
Dewey Edition22
IllustratedYes
Dewey Decimal330.0159542
Table Of ContentIntroductionPart I: Principles1. Bayesian Aspects of Treatment Choice2. Exchangeability, Representation Theorems, and SubjectivityPart II: Methods3. Bayesian Inference for Time Series State Space Models4. Flexible and Nonparametric Modelling5. Introduction to Simulation and MCMC MethodsPart III: Applications6. Bayesian Methods in Microeconometrics7. Bayesian Macroeconometrics8. Bayesian Applications in Marketing9. Bayesian Econometrics in Finance, Introduction, John Geweke, Gary Koop, and Herman van DijkPart I: Principles1. Bayesian Aspects of Treatment Choice, Gary Chamberlain2. Exchangeability, Representation Theorems, and Subjectivity, Dale PoirierPart II: Methods3. Bayesian Inference for Time Series State Space Models, Paolo Giordani, Michael Pitt, and Robert Kohn4. Flexible and Nonparametric Modelling, Jim Griffin, Fernando Quintana, and Mark Steel5. Introduction to Simulation and MCMC Methods, Siddhartha ChibPart III: Applications6. Bayesian Methods in Microeconometrics, Mingliang Li and Justin Tobias7. Bayesian Macroeconometrics, Marco Del Negro and Frank Schorfheide8. Bayesian Applications in Marketing, Peter Rossi and Greg Allenby9. Bayesian Econometrics in Finance, Eric Jacquier and Nicholas Polson
SynopsisBayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology., A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.
LC Classification NumberHB139
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