Jointness in Bayesian Variable Selection with Applications to Growth Regression

Ley, Eduardo ; Steel, Mark F. J.

关键词: BENCHMARK;    BLACK MARKET;    BLACK MARKET PREMIUM;    CALIBRATION;    CIVIL LIBERTIES;   

DOI  :  10.1596/1813-9450-4063
RP-ID  :  WPS4063

学科分类：社会科学、人文和艺术（综合）

来源: World Bank Open Knowledge Repository

【 摘 要 】

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.