Using the regression discontinuity design with implicit partitions: The impacts of comunidades solidarias rurales on schooling in El Salvador

Daniel Gilligan () and Alan de Brauw

No 1116, IFPRI discussion papers from International Food Policy Research Institute (IFPRI)

Abstract: Regression discontinuity design (RDD) is a useful tool for evaluating programs when a single variable is used to determine program eligibility. RDD has also been used to evaluate programs when eligibility is based on multiple variables that have been aggregated into a single index using explicit, often arbitrary, weights. In this paper, we show that under specific conditions, regression discontinuity can be used in instances when more than one variable is used to determine eligibility, without assigning explicit weights to map those variables into a single measure.

Keywords: Regression discontinuity design; partitioned cluster analysis; Schooling; Impact evaluation (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-agr, nep-dev and nep-ecm
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:fpr:ifprid:1116

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