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

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.
Language:	English
Published:	World Bank, Washington, DC 2012
Subjects:	AREA BAYES FACTOR BINOMIAL DISTRIBUTION CLASSIFICATION COVARIANCE FORECASTS INTEGER LATIN AMERICAN LINEAR MODELS LINEAR REGRESSION MATRIX PRECISION PREDICTION PREDICTIONS PROBABILITIES PROBABILITY PROBABILITY MODELS REASONING RESEARCH WORKING PAPERS SAMPLE SIZE SCENARIO SIMULATION STANDARD DEVIATION
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

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

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