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 show its application in cross-country growth regressions using two data-sets from the model-averaging growth literature.

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Year of publication:	2006-11-01
Authors:	Ley, Eduardo ; Steel, Mark F. J.
Institutions:	Economics Research, World Bank Group
Subject:	Statistical&Mathematical Sciences \| Climate Change \| Educational Technology and Distance Education \| Economic Theory&Research \| Achieving Shared Growth

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Extent:	application/pdf
Series:	Policy Research Working Paper Series.
Type of publication:	Book / Working Paper
Notes:	Number 4063
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005134145