A Bayesian Approach to Model Uncertainty /
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 ad...
| Κύριος συγγραφέας: | |
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| Μορφή: | Επιστημονικό περιοδικό |
| Γλώσσα: | English |
| Έκδοση: |
Washington, D.C. :
International Monetary Fund,
2004.
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| Σειρά: | IMF Working Papers; Working Paper ;
No. 2004/068 |
| Θέματα: | |
| Διαθέσιμο Online: | Full text available on IMF |
| Περίληψη: | 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. |
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| Περιγραφή τεκμηρίου: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Φυσική περιγραφή: | 1 online resource (21 pages) |
| Μορφή: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Πρόσβαση: | Electronic access restricted to authorized BRAC University faculty, staff and students |