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

We consider 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. We examine the effect of a variety of prior assumptions on...

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Bibliographic Details
Main Authors: Ley, Eduardo, Steel, Mark F. J.
Format: Journal Article
Language:EN
Published: 2012
Subjects:
Single Equation Models
Single Variables: General C200
Model Construction and Estimation C510
Forecasting Methods
Simulation Methods C530
Measurement of Economic Growth
Aggregate Productivity
Cross-Country Output Convergence O470
Online Access:http://hdl.handle.net/10986/4690

Internet

http://hdl.handle.net/10986/4690

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