Accounting for Peer Effects in Treatment Response

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 8340

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models ; Field Experiments ; Educational Finance; Financial Aid
• Subject: education ; social network ; impact evaluation

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Dieye, Rokhaya ; Djebbari, Habiba ; Barrera-Osorio, Felipe
• Event: Veröffentlichung
• (who): Institute for the Study of Labor (IZA)
• (where): Bonn
• (when): 2014

Further information

• Handle: http://hdl.handle.net/10419/101861
• Last update: 10.03.2025, 11:44 AM CET