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Prioritizing Policies for Pro-Poor Growth: Applying Bayesian Model Averaging to Vietnam

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Author Info

  • Klump, R.
  • Prüfer, P.

    (Tilburg University, Center for Economic Research)

Abstract

Pro-Poor Growth (PPG) is the vision of combining high growth rates with poverty reduction.Due to the myriad of possible determinants of growth and poverty a unique theoretical model for guiding empirical work on PPG is absent, though.Bayesian Model Averaging is a statistically robust framework for this purpose.It addresses the existent parameter and model uncertainty by not choosing a single model but averaging over all possible ones.Using data for the 61 Vietnamese provinces we are able to ascertain a prioritization of all used determinants of poverty, growth and of PPG of our large set of explanatory variables.

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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2006-117.

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Date of creation: 2006
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Handle: RePEc:dgr:kubcen:2006117

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Related research

Keywords: poverty determinants; growth determinants; pro-poor growth; model uncertainty; Vietnam;

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