The recentered influence function and unidimensional poverty measurement

Arbeitspapier

I discuss the applicability of the recentered influence function (RIF) to the analysis of poverty differentials between distributions (regression-based decomposition into composition and income structure effects). I show that the predominant approach in the empirical literature estimates the relationship between individual poverty functions of additive measures, particularly the head-count ratio, and household attributes. Given that the recentered influence function of these measures is also their poverty function, this approach is simply a specific case of the onestage recentered influence function decomposition, using non-linear probability models. However, the use of recentered influence function provides a more general approach that better accounts for individual contributions to poverty for non-additive poverty measures (such as that of Sen and its extensions) as well. At the same time, the use of reweighting in a first stage allows to avoid imposing any functional form on the relationship between poverty and characteristics at the aggregate level.

Angaben zum Objekt

• ISBN: 978-92-9267-082-5
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: WIDER Working Paper ; No. 2021/142

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Specific Distributions; Specific Statistics ; Measurement and Analysis of Poverty
• Thema: poverty ; recentered influence function (RIF) ; regression-based decomposition

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Gradín, Carlos
• Ereignis: Veröffentlichung
• (wer): The United Nations University World Institute for Development Economics Research (UNU-WIDER)
• (wo): Helsinki
• (wann): 2021

Weitere Informationen

• DOI: doi:10.35188/UNU-WIDER/2021/082-5
• Handle: http://hdl.handle.net/10419/248356
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ