TY  - BOOK
AU  - Ley,Eduardo
AU  - Ley,Eduardo
AU  - Steel,Mark F.J.
TI  - Jointness In Bayesian Variable Selection With Applications To Growth Regression
PY  - 2006///
CY  - Washington, D.C.
PB  - The World Bank
KW  - Arts and Music
KW  - Calibration
KW  - Climate Change
KW  - Counting
KW  - Covariance
KW  - Culture & Development
KW  - Data
KW  - Econometrics
KW  - Economic Theory and Research
KW  - Educational Technology and Distance Learning
KW  - Environment
KW  - Evaluation
KW  - Finance and Financial Sector Development
KW  - Financial Literacy
KW  - Indicators
KW  - Information Security and Privacy
KW  - Less
KW  - Linear Regression
KW  - Logarithms
KW  - Macroeconomics and Economic Growth
KW  - Matrix
KW  - Poverty Reduction
KW  - Precision
KW  - Pro-Poor Growth
KW  - Probabilities
KW  - Probability
KW  - Probability Models
KW  - Science and Technology Development
KW  - Sensitivity Analysis
KW  - Standard Deviation
KW  - Standard Deviations
KW  - Statistical and Mathematical Sciences
KW  - Statistics
KW  - Variables
N2  - 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
UR  - http://elibrary.worldbank.org/doi/book/10.1596/1813-9450-4063
ER  -