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Jointness in Bayesian variable selection with applications to growth regression

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Author Info
Ley, Eduardo
Steel, Mark F. J.

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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.

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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 4063.

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Date of creation: 01 Nov 2006
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Handle: RePEc:wbk:wbrwps:4063

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Keywords: Statistical & Mathematical Sciences Climate Change Educational Technology and Distance Education Economic Theory & Research Pro-Poor Growth and Inequality

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  1. repec:rus:hseeco:70719 is not listed on IDEAS
  2. Carmen Fernandez & Eduardo Ley & Mark Steel, 1999. "Model uncertainty in cross-country growth regressions," Econometrics 9903003, EconWPA, revised 06 Oct 2001. [Downloadable!]
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  3. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February. [Downloadable!] (restricted)
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  4. Xavier Sala-i-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September. [Downloadable!] (restricted)
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  5. Doppelhofer, G. & Weeks, M., 2005. "Jointness of Growth Determinants," Cambridge Working Papers in Economics 0542, Faculty of Economics, University of Cambridge. [Downloadable!]
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  6. Sala-i-Martin, Xavier, 1997. "I Just Ran Two Million Regressions," American Economic Review, American Economic Association, vol. 87(2), pages 178-83, May. [Downloadable!] (restricted)
  7. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-63, September. [Downloadable!] (restricted)
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  8. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2003-1), pages 235-322. [Downloadable!]
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  9. repec:att:wimass:1920315 is not listed on IDEAS
  10. Charalambos G. Tsangarides, 2005. "Growth Empirics under Model Uncertainty: Is Africa Different?," IMF Working Papers 05/18, International Monetary Fund. [Downloadable!]
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany. [Downloadable!]
  2. Ley, Eduardo & Steel, Mark F.J., 2008. "On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regression," MPRA Paper 6772, University Library of Munich, Germany, revised 06 Jan 2008. [Downloadable!]
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  3. Magnus, J.R. & Powell, O.R. & Prufer, P., 2008. "A Comparison of Two Averaging Techniques with an Application to Growth Empirics," Discussion Paper 2008-39, Tilburg University, Center for Economic Research. [Downloadable!]
  4. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank, Research Centre. [Downloadable!]
  5. Theo Eicher & Chris Papageorgiou & Oliver Röhn, 2007. "Unraveling the Fortunates of the Fortunate: An Iterative Bayesian Model Averaging (IBMA) Approach," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
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