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Jointness In Bayesian Variable Selection With Applications To Growth Regression / Ley, Eduardo
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Ley, Eduardo
- Series:
- Policy research working papers.
- World Bank e-Library.
- Language:
- English
- Subjects (All):
- Arts and Music.
- Calibration.
- Climate Change.
- Counting.
- Covariance.
- Culture & Development.
- Data.
- Econometrics.
- Economic Theory and Research.
- Educational Technology and Distance Learning.
- Environment.
- Evaluation.
- Finance and Financial Sector Development.
- Financial Literacy.
- Indicators.
- Information Security and Privacy.
- Less.
- Linear Regression.
- Logarithms.
- Macroeconomics and Economic Growth.
- Matrix.
- Poverty Reduction.
- Precision.
- Pro-Poor Growth.
- Probabilities.
- Probability.
- Probability Models.
- Science and Technology Development.
- Sensitivity Analysis.
- Standard Deviation.
- Standard Deviations.
- Statistical and Mathematical Sciences.
- Statistics.
- Variables.
- Local Subjects:
- Arts and Music.
- Calibration.
- Climate Change.
- Counting.
- Covariance.
- Culture & Development.
- Data.
- Econometrics.
- Economic Theory and Research.
- Educational Technology and Distance Learning.
- Environment.
- Evaluation.
- Finance and Financial Sector Development.
- Financial Literacy.
- Indicators.
- Information Security and Privacy.
- Less.
- Linear Regression.
- Logarithms.
- Macroeconomics and Economic Growth.
- Matrix.
- Poverty Reduction.
- Precision.
- Pro-Poor Growth.
- Probabilities.
- Probability.
- Probability Models.
- Science and Technology Development.
- Sensitivity Analysis.
- Standard Deviation.
- Standard Deviations.
- Statistical and Mathematical Sciences.
- Statistics.
- Variables.
- Physical Description:
- 1 online resource (17 pages)
- Place of Publication:
- Washington, D.C., The World Bank, 2006
- System Details:
- data file
- 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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