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...

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Main Authors:	Ley, Eduardo, Steel, Mark F. J.
Format:	Policy Research Working Paper
Language:	English en_US
Published:	2012
Subjects:	BENCHMARK BLACK MARKET BLACK MARKET PREMIUM CALIBRATION CIVIL LIBERTIES CLASSIFICATION COUNTING COVARIANCE COVARIANCE MATRIX DATA SETS DENSITY FUNCTION DEPENDENT VARIABLE ECONOMETRICS EXCHANGE RATE EXPLANATORY VARIABLES EXPORTS GDP GROWTH DETERMINANTS GROWTH LITERATURE GROWTH MODELS GROWTH REGRESSION GROWTH REGRESSIONS LABOR FORCE LATIN AMERICAN LINEAR REGRESSION LOGARITHMS MALARIA MATRIX NORMAL DISTRIBUTION OPEN ECONOMY POLICY RESEARCH PRECISION PROBABILITIES PROBABILITY PROBABILITY MODELS PUBLIC INVESTMENT REAL EXCHANGE RATE SCALE EFFECT STANDARD DEVIATION STANDARD DEVIATIONS
Online Access:	http://documents.worldbank.org/curated/en/2006/11/7186414/jointness-bayesian-variable-selection-applications-growth-regression http://hdl.handle.net/10986/8865

id	okr-10986-8865
recordtype	oai_dc
spelling	okr-10986-88652021-04-23T14:02:41Z Jointness in Bayesian Variable Selection with Applications to Growth Regression Ley, Eduardo Steel, Mark F. J. BENCHMARK BLACK MARKET BLACK MARKET PREMIUM CALIBRATION CIVIL LIBERTIES CLASSIFICATION COUNTING COVARIANCE COVARIANCE MATRIX DATA SETS DENSITY FUNCTION DEPENDENT VARIABLE ECONOMETRICS EXCHANGE RATE EXPLANATORY VARIABLES EXPORTS GDP GROWTH DETERMINANTS GROWTH LITERATURE GROWTH MODELS GROWTH REGRESSION GROWTH REGRESSIONS LABOR FORCE LATIN AMERICAN LINEAR REGRESSION LOGARITHMS MALARIA MATRIX NORMAL DISTRIBUTION OPEN ECONOMY POLICY RESEARCH PRECISION PROBABILITIES PROBABILITY PROBABILITY MODELS PUBLIC INVESTMENT REAL EXCHANGE RATE SCALE EFFECT STANDARD DEVIATION STANDARD DEVIATIONS 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. 2012-06-22T20:32:39Z 2012-06-22T20:32:39Z 2006-11-01 http://documents.worldbank.org/curated/en/2006/11/7186414/jointness-bayesian-variable-selection-applications-growth-regression http://hdl.handle.net/10986/8865 English en_US Policy Research Working Paper; No. 4063 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Publications & Research :: Policy Research Working Paper Publications & Research
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English en_US
topic	BENCHMARK BLACK MARKET BLACK MARKET PREMIUM CALIBRATION CIVIL LIBERTIES CLASSIFICATION COUNTING COVARIANCE COVARIANCE MATRIX DATA SETS DENSITY FUNCTION DEPENDENT VARIABLE ECONOMETRICS EXCHANGE RATE EXPLANATORY VARIABLES EXPORTS GDP GROWTH DETERMINANTS GROWTH LITERATURE GROWTH MODELS GROWTH REGRESSION GROWTH REGRESSIONS LABOR FORCE LATIN AMERICAN LINEAR REGRESSION LOGARITHMS MALARIA MATRIX NORMAL DISTRIBUTION OPEN ECONOMY POLICY RESEARCH PRECISION PROBABILITIES PROBABILITY PROBABILITY MODELS PUBLIC INVESTMENT REAL EXCHANGE RATE SCALE EFFECT STANDARD DEVIATION STANDARD DEVIATIONS
spellingShingle	BENCHMARK BLACK MARKET BLACK MARKET PREMIUM CALIBRATION CIVIL LIBERTIES CLASSIFICATION COUNTING COVARIANCE COVARIANCE MATRIX DATA SETS DENSITY FUNCTION DEPENDENT VARIABLE ECONOMETRICS EXCHANGE RATE EXPLANATORY VARIABLES EXPORTS GDP GROWTH DETERMINANTS GROWTH LITERATURE GROWTH MODELS GROWTH REGRESSION GROWTH REGRESSIONS LABOR FORCE LATIN AMERICAN LINEAR REGRESSION LOGARITHMS MALARIA MATRIX NORMAL DISTRIBUTION OPEN ECONOMY POLICY RESEARCH PRECISION PROBABILITIES PROBABILITY PROBABILITY MODELS PUBLIC INVESTMENT REAL EXCHANGE RATE SCALE EFFECT STANDARD DEVIATION STANDARD DEVIATIONS Ley, Eduardo Steel, Mark F. J. Jointness in Bayesian Variable Selection with Applications to Growth Regression
relation	Policy Research Working Paper; No. 4063
description	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.
format	Publications & Research :: Policy Research Working Paper
author	Ley, Eduardo Steel, Mark F. J.
author_facet	Ley, Eduardo Steel, Mark F. J.
author_sort	Ley, Eduardo
title	Jointness in Bayesian Variable Selection with Applications to Growth Regression
title_short	Jointness in Bayesian Variable Selection with Applications to Growth Regression
title_full	Jointness in Bayesian Variable Selection with Applications to Growth Regression
title_fullStr	Jointness in Bayesian Variable Selection with Applications to Growth Regression
title_full_unstemmed	Jointness in Bayesian Variable Selection with Applications to Growth Regression
title_sort	jointness in bayesian variable selection with applications to growth regression
publishDate	2012
url	http://documents.worldbank.org/curated/en/2006/11/7186414/jointness-bayesian-variable-selection-applications-growth-regression http://hdl.handle.net/10986/8865
_version_	1764406675774636032

Jointness in Bayesian Variable Selection with Applications to Growth Regression

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