Introduction to Bayesian Econometrics PDF ePub eBook

Books Info:

Introduction to Bayesian Econometrics free pdf This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language.

About Edward Greenberg

Edward Greenberg is Professor Emeritus of Economics at Washington University, St Louis, where he served as a Full Professor on the faculty from 1969 to 2005. Professor Greenberg also taught at the University of Wisconsin, Madison, and has been a Visiting Professor at the University of Warwick (UK), Technion University (Israel) and the University of Bergamo (Italy). A former holder of a Ford Foundation Faculty Fellowship, Greenberg is the author of the first edition of Introduction to Bayesian Econometrics (Cambridge University Press, 2008) and the co-author of four books: Wages, Regime Switching, and Cycles (1992), The Labor Market and Business Cycle Theories (1989), Advanced Econometrics (1983, revised 1991) and Regulation, Market Prices, and Process Innovation (1979). His published research has appeared in leading journals such as the American Economic Review, Econometrica, the Journal of Econometrics, the Journal of the American Statistical Association, Biometrika and the Journal of Economic Behavior and Organization. Professor Greenberg's current research interests include dynamic macroeconomics as well as Bayesian econometrics.

Details Book

Author : Edward Greenberg
Publisher : Cambridge University Press
Data Published : 21 August 2014
ISBN : 110743677X
EAN : 9781107436770
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 270 pages
Age + : 15 years
Language : English
Rating :

Reviews Introduction to Bayesian Econometrics



17 Comments Add a comment




Related eBooks Download


  • Language Typology and Historical Contingency free pdfLanguage Typology and Historical Contingency

    What is the range of diversity in linguistic types. what are the geographical distributions for the attested types. and what explanations. based on shared history or universals. can account for these distributions..


  • Mixture free pdfMixture

    This book uses the E1000M (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture- the distributions may be continuous or discrete..


  • Linear Probability, Logit and Probit Models free pdfLinear Probability, Logit and Probit Models

    Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables. but this volume examines three techniques -- linear probability. probit. and logit models -- which are well-suited for such data..


  • Patrick S. Hagan - on Beyond Black free pdfPatrick S. Hagan - on Beyond Black

    Run Time: 52.02 minutes In this video Patrick S. Hagan provides the framework for incorporating realistic probability distributions into one's pricing. hedging. and risk analysis: Learn how to extend Black/Scholes/Merton arbitrage free theory to realistic depictions of the market Learn how realistic models explain the observed volatility surfaces of European options Learn how the fat tails of realistic models affect the hedging and risk analysis of European options This video..


  • Logistic Regression Models for Ordinal Response Variables free pdfLogistic Regression Models for Ordinal Response Variables

    Logistic Regression Models for Ordinal Response Variables provides applied researchers in the social. educational. and behavioural sciences with accessible and comprehensive coverage of analyses for ordinal outcomes..


  • Introduction to Bayesian Econometrics free pdfIntroduction to Bayesian Econometrics

    . This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood functi