## Abstract This paper introduces a new measure of dependence or __jointness__ among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable import
Comment on ‘Jointness of growth determinants’ by Gernot Doppelhofer and Melvyn Weeks
✍ Scribed by Rodney W. Strachan
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 253 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.1050
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✦ Synopsis
Abstract
Doppelhofer and Weeks (2009) present a statistic designed to indicate the probability that pairs of regressors appear together or individually in a Bayesian model averaged linear regression. This comment presents an alternative measure that is designed to overcome some of the limitations of Doppelhofer and Weeks' statistic. Copyright © 2009 John Wiley & Sons, Ltd.
📜 SIMILAR VOLUMES
## Abstract This comment contrasts the jointness statistics proposed by Doppelhofer and Weeks (2009) with alternatives proposed by Strachan (2009) and Ley and Steel (2007). In contrast to the alternatives, our jointness statistic constitutes a formal test for dependence over the joint posterior dis