Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/101861 
Year of Publication: 
2014
Series/Report no.: 
IZA Discussion Papers No. 8340
Publisher: 
Institute for the Study of Labor (IZA), Bonn
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.
Subjects: 
education
social network
impact evaluation
JEL: 
C31
C93
I22
Document Type: 
Working Paper

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