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Imposing parsimony in cross-country growth regressions

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  • Jarociński, Marek

Abstract

The number of variables related to long-run economic growth is large compared with the number of countries. Bayesian model averaging is often used to impose parsimony in the cross-country growth regression. The underlying prior is that many of the considered variables need to be excluded from the model. This paper, instead, advocates priors that impose parsimony without excluding variables. The resulting models fit the data better and are more robust to revisions of income data. The positive relationship between measures of trade openness and growth is much stronger than found in the literature. JEL Classification: C20, C52, O40, O47

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Paper provided by European Central Bank in its series Working Paper Series with number 1234.

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Date of creation: Aug 2010
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Handle: RePEc:ecb:ecbwps:20101234

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Keywords: Adaptive Ridge Regression; Bayesian model averaging; Economic Growth; measurement error;

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  1. Christine De Mol & Domenico Giannone & Lucrezia Reichlin, 2008. "Forecasting using a large number of predictors: is Bayesian shrinkage a valid alternative to principal components?," ULB Institutional Repository 2013/6411, ULB -- Universite Libre de Bruxelles.
  2. 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.
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