Bayesian Econometrics by Siddhartha Chib

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Summary

Illustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predictions for future directions.

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Bayesian Econometrics by Siddhartha Chib

Bayesian Econometrics illustrates the scope and diversity of modern applications, reviews some recent advances, and highlights many desirable aspects of inference and computations. It begins with an historical overview by Arnold Zellner who describes key contributions to development and makes predictions for future directions. In the second paper, Giordani and Kohn makes suggestions for improving Markov chain Monte Carlo computational strategies. The remainder of the book is categorized according to microeconometric and time-series modeling. Models considered include an endogenous selection ordered probit model, a censored treatment-response model, equilibrium job search models and various other types. These are used to study a variety of applications for example dental insurance and care, educational attainment, voter opinions and the marketing share of various brands and an aggregate cross-section production function. Models and topics considered include the potential problem of improper posterior densities in a variety of dynamic models, selection and averaging for forecasting with vector autoregressions, a consumption capital-asset pricing model and various others. Applications involve U.S. macroeconomic variables, exchange rates, an investigation of purchasing power parity, data from London Metals Exchange, international automobile production data, and data from the Asian stock market.
SKU Unavailable
ISBN 13 9781848553088
ISBN 10 1848553080
Title Bayesian Econometrics
Author Siddhartha Chib
Series Advances In Econometrics
Condition Unavailable
Binding Type Hardback
Publisher Emerald Publishing Limited
Year published 2008-12-18
Number of pages 672
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.