Accounting for Peer Effects in Treatment Response

Rokhaya Dieye (), Habiba Djebbari and Felipe Barrera-Osorio

No 8340, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: When one's treatment status affects the outcomes of others, experimental data are not sufficient to identify a treatment causal impact. In order to account for peer effects in program response, we use a social network model. We estimate and validate the model on experimental data collected for the evaluation of a scholarship program in Colombia. By design, randomization is at the student-level. Friendship data reveals that treated and untreated students interact together. Besides providing evidence of peer effects in schooling, we find that ignoring peer effects would have led us to overstate the program actual impact.

Keywords: education; social network; impact evaluation (search for similar items in EconPapers)
JEL-codes: C31 C93 I22 (search for similar items in EconPapers)
Pages: 49 pages
Date: 2014-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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Working Paper: Accounting for Peer Effects in Treatment Response (2014)
Working Paper: Accounting for Peer Effects in Treatment Response (2014)
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