01771cas a2200277 a 4500 AALejournalIMF002954 230101c9999 xx r poo 0 0eng d 5.00 USD 9781451849028 1018-5941 BD-DhAAL BD-DhAAL Tsangarides, Charalambos. A Bayesian Approach to Model Uncertainty / Charalambos Tsangarides. Washington, D.C. : International Monetary Fund, 2004. 1 online resource (21 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students 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. Mode of access: Internet Estimation imf Least Squares imf WP imf IMF Working Papers; Working Paper ; No. 2004/068 Full text available on IMF http://elibrary.imf.org/view/journals/001/2004/068/001.2004.issue-068-en.xml IMF e-Library