"An Introduction to Bayesian Inference in Econometrics" - Information and Links:

An Introduction to Bayesian Inference in Econometrics

Book's cover
The cover of “An Introduction to Bayesian Inference in Econometrics” - Open Library.

"An Introduction to Bayesian Inference in Econometrics" is published by John Wiley & Sons, Inc. in 1996 - New York, it has 448 pages and the language of the book is English.


“An Introduction to Bayesian Inference in Econometrics” Metadata:

  • Title: ➤  An Introduction to Bayesian Inference in Econometrics
  • Author:
  • Language: English
  • Number of Pages: 448
  • Publisher: John Wiley & Sons, Inc.
  • Publish Date:
  • Publish Location: New York

“An Introduction to Bayesian Inference in Econometrics” Subjects and Themes:

Edition Specifications:

  • Format: Paperback
  • Pagination: xv, 431p.

Edition Identifiers:

AI-generated Review of “An Introduction to Bayesian Inference in Econometrics”:


"An Introduction to Bayesian Inference in Econometrics" Table Of Contents:

  • 1- Remarks on Inference in Economics.
  • 2- Principles of Bayesian Analysis with Selected Applications.
  • 3- The Univariate Normal Linear Regression Model.
  • 4- Special Problems in Regression Analysis.
  • 5- On Errors in the Variables.
  • 6- Analysis of Single Equation Nonlinear Models.
  • 7- Time Series Models: Some Selected Examples.
  • 8- Multivariate Regression Models.
  • 9- Simultaneous Equation Econometric Models.
  • 10- On Comparing and Testing Hypotheses.
  • 11- Analysis of Some Control Problems.
  • 12- Conclusion.
  • 13- Appendices.
  • 14- Bibliography.
  • 15- Indexes.

Snippets and Summary:

What Moore has said about discussing work in art is undoubtedly applicable to discussions of methodology in economics.

"An Introduction to Bayesian Inference in Econometrics" Description:

The Open Library:

This is a classical reprint edition of the original 1971 edition of An Introduction to Bayesian Inference in Economics. This historical volume is an early introduction to Bayesian inference and methodology which still has lasting value for today's statistician and student. The coverage ranges from the fundamental concepts and operations of Bayesian inference to analysis of applications in specific econometric problems and the testing of hypotheses and models. source: https://www.wiley.com/en-nl/An+Introduction+to+Bayesian+Inference+in+Econometrics-p-9780471169376

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