Dominance testing for ‘pro-poor’ growth with an application to European growth

Daniel Sotelsek (), Ismael Ahamdanech-Zarco () and John Bishop ()

Empirical Economics, 2012, vol. 43, issue 2, 723-739

Abstract: This article introduces statistical testing procedures to evaluate ‘pro-poor’ growth. Our measure of ‘pro-poorness’ follows Kakwani (J Quant Econ 16(1):67–80, 2000 ), Kakwani and Pernia (Asian Dev Rev 18(1):1–16, 2000 ), and Son (Econ Lett 82:307–314, 2004 ), who decompose the generalized Lorenz ordinates into a growth effect and an inequality effect. We derive an asymptotic distribution-free covariance matrix for the decomposed generalized Lorenz curves. Using this decomposition (and our standard errors), we test for pro-poor dominance in the growth process. We illustrate our test for the pro-poor dominance by evaluating the degree of pro-poor growth in five European countries. Copyright Springer-Verlag 2012

Keywords: Pro-poor growth; Inference tests; Stochastic dominance; D31; D63; I32 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00181-011-0503-y

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