Selecting a Targeting Method to Identify BPL Households in India

Autor/inn/en	Alkire, Sabina; Seth, Suman
Titel	Selecting a Targeting Method to Identify BPL Households in India
Quelle	In: Social Indicators Research, 112 (2013) 2, S.417-446 (30 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0303-8300
DOI	10.1007/s11205-013-0254-6
Schlagwörter	Foreign Countries; Family (Sociological Unit); Scoring; Methods; Social Class; Poverty; Benchmarking; Selection Criteria; Family Characteristics; Developing Nations; Social Indicators; Measurement; Sociometric Techniques; Public Policy; Research Methodology; Surveys; Statistical Analysis; Questionnaires; Predictor Variables; Socioeconomic Status; India + Suchen Sie Ihr Suchwort? Ausland; Familie; Bewertung; Method; Methode; Social classes; Soziale Klasse; Armut; Selection criterion; Auslesekriterium; Developing country; Developing countries; Entwicklungsland; Social indicator; Sozialer Indikator; Messverfahren; Soziometrie; Öffentliche Ordnung; Research method; Forschungsmethode; Survey; Umfrage; Befragung; Statistische Analyse; Fragebogen; Prädiktor; Socio-economic status; Sozioökonomischer Status; Indien
Abstract	This paper proposes how to select a methodology to target multidimensionally poor households, and how to update that targeting exercise periodically. We present this methodology in the context of discussions regarding the selection of a targeting methodology in India. In 1992, 1997, and 2002 the Indian government identified households that are below the poverty line (BPL) and in updating the 2002 methodology, alternative methods have been proposed and vigorously debated. A fourth BPL method was published and a corresponding Socio Economic Caste Census (SECC), implemented. Using the third National Family Health Survey (NFHS-3), this paper illustrates how a BPL targeting method using SECC variables might be calibrated to a multidimensional poverty measure. This paper compares the fit between a benchmark measure of multidimensional poverty and several plausible targeting methods to determine which method(s) approximate it--as well as related measures--most closely. We find a ten-item binary scoring method, which uses variables already available in the SECC questionnaire, provides a strong proxy. The emphasis of this paper is to illustrate how a particular targeting method can be justified, rather than to advocate any particular solution. (As Provided).
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Update	2017/4/10