@inproceedings{Muller2008Clarifying,
abstract = {I discuss how poverty decomposition methods relate to integral approximation, which ultimately is the foundation of every decomposition of the temporal change of a quantity into key drivers. This offers a common framework for the different decomposition methods used in the literature, clarifies their often somewhat unclear theoretical underpinning and identifies the methods shortcomings. In light of integral approximation, many methods actually lack a sound theoretical basis and they usually have an ad-hoc character in assigning the residual terms to the different key effects. I illustrate these claims for the Shapley-value decomposition and methods related to the Datt-Ravaillon approach and point out difficulties in axiomatic approaches to poverty decomposition. Recent developments in energy and pollutant decomposition offer some improved methods, but ultimately, a further development of poverty decomposition should account for the basis in integral approximation.},
address = {G\"{o}ttingen},
author = {Adrian M\"{u}ller},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {I32; C43; 330; poverty analysis; poverty measures; decomposition; Shapley-value; inequality},
language = {eng},
number = {30},
publisher = {Verein f\"{u}r Socialpolitik, Ausschuss f\"{u}r Entwicklungsl\"{a}nder},
series = {Proceedings of the German Development Economics Conference, Z\"{u}rich 2008},
title = {Clarifying Poverty Decomposition},
url = {http://hdl.handle.net/10419/39900},
year = {2008}
}
