@techreport{dc14add6f5814eea92dd33e598f88a7e,
title = "Prioritizing Policies for Pro-Poor Growth: Applying Bayesian Model Averaging to Vietnam",
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.",
keywords = "poverty determinants, growth determinants, pro-poor growth, model uncertainty, Vietnam",
author = "R. Klump and P. Pr{\"u}fer",
note = "Pagination: 38",
year = "2006",
language = "English",
volume = "2006-117",
series = "CentER Discussion Paper",
publisher = "Macroeconomics",
type = "WorkingPaper",
institution = "Macroeconomics",
}
