A Bayesian Approach to Model Uncertainty / Charalambos Tsangarides.

Author
Tsangarides, Charalambos [Browse]
Format
Book
Language
English
Published/​Created
Washington, D.C. : International Monetary Fund, 2004.
Description
1 online resource (22 p.)

Details

Subject(s)
Series
Summary note
This paper develops the theoretical background for the Limited Information Bayesian Model Averaging (LIBMA). The proposed approach accounts for model uncertainty by averaging over all possible combinations of predictors when making inferences about the variables of interest, and it simultaneously addresses the biases associated with endogenous and omitted variables by incorporating a panel data systems Generalized Method of Moments estimator. Practical applications of the developed methodology are discussed, including testing for the robustness of explanatory variables in the analyses of the determinants of economic growth and poverty.
Notes
Description based upon print version of record.
Bibliographic references
Includes bibliographical references.
Source of description
Description based on online resource; title from PDF cover (ebrary, viewed June 27, 2015).
Language note
English
Contents
""Contents""; ""I. Introduction""; ""II. Preliminaries on GMM""; ""III. GMM in the Bayesian Framework""; ""IV. Model Uncertainty and BMA""; ""V. Statistics for the Robustness Analysis""; ""VI. Conclusion""; ""References""
ISBN
  • 9786613782274
  • 9781462326792
  • 146232679X
  • 9781451995534
  • 1451995539
  • 9781281601582
  • 1281601586
  • 9781451895544
  • 1451895542
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