Complete and Incomplete Econometric Models / / John Geweke.

• Superior document: Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
• VerfasserIn: Geweke, John,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2010]; ©2010
• Year of Publication: 2010
• Edition: Course Book
• Language: English
• Series: The Econometric and Tinbergen Institutes Lectures
• Physical Description: 1 online resource (176 p.) :; 23 line illus. 12 tables.
• Other title: Frontmatter --; Contents --; Series Editors' Introduction --; Preface --; 1 Introduction --; 2. The Bayesian Paradigm --; 3. Prior Predictive Analysis And Model Evaluation --; 4. Incomplete Structural Models --; 5. An Incomplete Model Space --; References
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781400835249; 9783110442502
• DOI: 10.1515/9781400835249
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: John Geweke.

Econometric models are widely used in the creation and evaluation of economic policy in the public and private sectors. But these models are useful only if they adequately account for the phenomena in question, and they can be quite misleading if they do not. In response, econometricians have developed tests and other checks for model adequacy. All of these methods, however, take as given the specification of the model to be tested. In this book, John Geweke addresses the critical earlier stage of model development, the point at which potential models are inherently incomplete. Summarizing and extending recent advances in Bayesian econometrics, Geweke shows how simple modern simulation methods can complement the creative process of model formulation. These methods, which are accessible to economics PhD students as well as to practicing applied econometricians, streamline the processes of model development and specification checking. Complete with illustrations from a wide variety of applications, this is an important contribution to econometrics that will interest economists and PhD students alike.