Jointness In Bayesian Variable Selection With Applications To Growth Regression
The authors present a measure of jointness to explore dependence among regressors in the context of Bayesian model selection. The jointness measure they propose equals the posterior odds ratio between those models that include a set of variables and the models that only include proper subsets. They...
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| Format: | eBook |
| Language: | English |
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Washington, D.C
The World Bank
2006
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| Collection: | World Bank E-Library Archive - Collection details see MPG.ReNa |
| Summary: | The authors present a measure of jointness to explore dependence among regressors in the context of Bayesian model selection. The jointness measure they propose equals the posterior odds ratio between those models that include a set of variables and the models that only include proper subsets. They show its application in cross-country growth regressions using two data-sets from the model-averaging growth literature |
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| Physical Description: | 17 p. |