Jointness in Bayesian Variable Selection with Applications to Growth Regression

Ley, Eduardo; Steel, Mark F. J.

doi:10.1596/1813-9450-4063

collection.link.5	https://openknowledge.worldbank.org/handle/10986/9
collection.name.5	Policy Research Working Papers
dc.contributor.author	Ley, Eduardo
dc.contributor.author	Steel, Mark F. J.
dc.date.accessioned	2012-06-22T20:32:39Z
dc.date.available	2012-06-22T20:32:39Z
dc.date.issued	2006-11-01
dc.date.lastModified	2021-04-23T14:02:41Z
dc.description.abstract	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.	en
dc.identifier	http://documents.worldbank.org/curated/en/2006/11/7186414/jointness-bayesian-variable-selection-applications-growth-regression
dc.identifier.uri	http://hdl.handle.net/10986/8865
dc.language	English
dc.language.iso	en_US
dc.relation.ispartofseries	Policy Research Working Paper; No. 4063
dc.rights	CC BY 3.0 IGO
dc.rights.holder	World Bank
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/igo/
dc.subject	BENCHMARK
dc.subject	BLACK MARKET
dc.subject	BLACK MARKET PREMIUM
dc.subject	CALIBRATION
dc.subject	CIVIL LIBERTIES
dc.subject	CLASSIFICATION
dc.subject	COUNTING
dc.subject	COVARIANCE
dc.subject	COVARIANCE MATRIX
dc.subject	DATA SETS
dc.subject	DENSITY FUNCTION
dc.subject	DEPENDENT VARIABLE
dc.subject	ECONOMETRICS
dc.subject	EXCHANGE RATE
dc.subject	EXPLANATORY VARIABLES
dc.subject	EXPORTS
dc.subject	GDP
dc.subject	GROWTH DETERMINANTS
dc.subject	GROWTH LITERATURE
dc.subject	GROWTH MODELS
dc.subject	GROWTH REGRESSION
dc.subject	GROWTH REGRESSIONS
dc.subject	LABOR FORCE
dc.subject	LATIN AMERICAN
dc.subject	LINEAR REGRESSION
dc.subject	LOGARITHMS
dc.subject	MALARIA
dc.subject	MATRIX
dc.subject	NORMAL DISTRIBUTION
dc.subject	OPEN ECONOMY
dc.subject	POLICY RESEARCH
dc.subject	PRECISION
dc.subject	PROBABILITIES
dc.subject	PROBABILITY
dc.subject	PROBABILITY MODELS
dc.subject	PUBLIC INVESTMENT
dc.subject	REAL EXCHANGE RATE
dc.subject	SCALE EFFECT
dc.subject	STANDARD DEVIATION
dc.subject	STANDARD DEVIATIONS
dc.title	Jointness in Bayesian Variable Selection with Applications to Growth Regression	en
okr.doctype	Publications & Research :: Policy Research Working Paper
okr.doctype	Publications & Research
okr.docurl	http://documents.worldbank.org/curated/en/2006/11/7186414/jointness-bayesian-variable-selection-applications-growth-regression
okr.globalpractice	Macroeconomics and Fiscal Management
okr.globalpractice	Education
okr.globalpractice	Transport and ICT
okr.globalpractice	Poverty
okr.globalpractice	Environment and Natural Resources
okr.googlescholar.linkpresent	yes
okr.identifier.doi	10.1596/1813-9450-4063
okr.identifier.externaldocumentum	000016406_20061108095106
okr.identifier.internaldocumentum	7186414
okr.identifier.report	WPS4063
okr.language.supported	en
okr.pdfurl	http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2006/11/08/000016406_20061108095106/Rendered/PDF/wps4063.pdf	en
okr.topic	Poverty Reduction :: Achieving Shared Growth
okr.topic	Economic Theory and Research
okr.topic	Statistical and Mathematical Sciences
okr.topic	Education :: Educational Technology and Distance Education
okr.topic	Climate Change
okr.topic	Environment
okr.topic	Macroeconomics and Economic Growth
okr.topic	Science and Technology Development
okr.unit	Development Research Group (DECRG)
okr.volume	1 of 1

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