Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors
We compare the predictive ability of Bayesian methods which deal simultaneously with model uncertainty and correlated regressors in the framework of cross-country growth regressions. In particular, we assess methods with spike and slab priors combined with different prior specifications for the slop...
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ndltd-VIENNA-oai-epub.wu-wien.ac.at-45312017-08-07T05:23:24Z Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors Hofmarcher, Paul Crespo Cuaresma, Jesus Grün, Bettina Hornik, Kurt We compare the predictive ability of Bayesian methods which deal simultaneously with model uncertainty and correlated regressors in the framework of cross-country growth regressions. In particular, we assess methods with spike and slab priors combined with different prior specifications for the slope parameters in the slab. Our results indicate that moving away from Gaussian g-priors towards Bayesian ridge, LASSO or elastic net specifications has clear advantages for prediction when dealing with datasets of (potentially highly) correlated regressors, a pervasive characteristic of the data used hitherto in the econometric literature. Wiley 2015-02-01 Article PeerReviewed en application/pdf http://epub.wu.ac.at/4531/1/Hofmarcher_etal_2015_JF_shrinkage.pdf http://dx.doi.org/10.1002/for.2328 http://onlinelibrary.wiley.com/doi/10.1002/for.2328/abstract http://dx.doi.org/10.1002/for.2328 http://epub.wu.ac.at/4531/ |
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en |
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Others
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description |
We compare the predictive ability of Bayesian methods which deal simultaneously with model uncertainty and correlated regressors in the framework of cross-country growth regressions. In particular, we assess methods with spike and slab priors combined with different prior specifications for the slope parameters in the slab. Our results indicate that moving away from Gaussian g-priors towards Bayesian ridge, LASSO or elastic net specifications has clear advantages for prediction when dealing with datasets of (potentially highly) correlated regressors, a pervasive characteristic of the data used hitherto in the econometric literature. |
author |
Hofmarcher, Paul Crespo Cuaresma, Jesus Grün, Bettina Hornik, Kurt |
spellingShingle |
Hofmarcher, Paul Crespo Cuaresma, Jesus Grün, Bettina Hornik, Kurt Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors |
author_facet |
Hofmarcher, Paul Crespo Cuaresma, Jesus Grün, Bettina Hornik, Kurt |
author_sort |
Hofmarcher, Paul |
title |
Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors |
title_short |
Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors |
title_full |
Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors |
title_fullStr |
Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors |
title_full_unstemmed |
Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors |
title_sort |
last night a shrinkage saved my life: economic growth, model uncertainty and correlated regressors |
publisher |
Wiley |
publishDate |
2015 |
url |
http://epub.wu.ac.at/4531/1/Hofmarcher_etal_2015_JF_shrinkage.pdf http://dx.doi.org/10.1002/for.2328 |
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