Multidimensional Targeting: Identifying Beneficiaries of Conditional Cash Transfer Programs

Autor/inn/en	Azevedo, Viviane; Robles, Marcos
Titel	Multidimensional Targeting: Identifying Beneficiaries of Conditional Cash Transfer Programs
Quelle	In: Social Indicators Research, 112 (2013) 2, S.447-475 (29 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0303-8300
DOI	10.1007/s11205-013-0255-5
Schlagwörter	Foreign Countries; Poverty; Economically Disadvantaged; Attendance; Children; Family Characteristics; Social Indicators; Measurement; Sociometric Techniques; Economic Factors; Research Methodology; Comparative Analysis; Statistical Analysis; Welfare Recipients; Welfare Services; Poverty Programs; African American Family; Family Income; Family Programs; Family Needs; Attendance Patterns; Public Policy; Policy Analysis; Human Capital; Child Welfare; Program Evaluation; Mexico + Suchen Sie Ihr Suchwort? Ausland; Armut; Anwesenheit; Child; Kind; Kinder; Social indicator; Sozialer Indikator; Messverfahren; Soziometrie; Ökonomischer Faktor; Research method; Forschungsmethode; Statistische Analyse; Sozialhilfeempfänger; Sozialhilfeempfängerin; Fürsorgeeinrichtung; Armenfürsorge; Familieneinkommen; Family program; Familienprogramm; Öffentliche Ordnung; Politikfeldanalyse; Humankapital; Kindeswohl; Programme evaluation; Programmevaluation; Mexiko
Abstract	Conditional cash transfer programs (CCTs) have two main objectives: reducing poverty and increasing the human capital of children. To reach these objectives, transfers are given to poor households conditioned on investments in their children's education, health, and nutrition. Targeting mechanisms used by CCTs have been generally successful in identifying the income poor but have not fared as well in identifying households that under-invest in human capital. These mechanisms do not consider the multidimensional aspect of poverty, even when composite measures are used, as they do not capture each dimension-specific deprivation. This paper proposes a multidimensional targeting approach to identifying beneficiaries that explicitly takes into consideration the multiple objectives of CCTs and the multiple deprivations of the poor household. Results indicate that the proposed multidimensional targeting methodology significantly improves the selection of households with children who are most deprived in the dimensions often relevant to CCTs. In the case of Mexico's Oportunidades, ex-ante evaluation results indicate that the multidimensional identification of beneficiaries increases the impact of transfers on school attendance compared to alternative targeting models. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10