On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regression

This paper examines the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations...

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Bibliographic Details
Main Authors: Ley, Eduardo, Steel, Mark F. J.
Format: Policy Research Working Paper
Language:English
Published: World Bank, Washington, DC 2012
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2007/06/7712856/effect-prior-assumptions-bayesian-model-averaging-applications-growth-regression
http://hdl.handle.net/10986/7401

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