Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities
This paper studies the identification and estimation of treatment response with heterogeneous spillovers in a network model. We generalize the standard linear-in-means model to allow for multiple groups with between and within-group interactions. We provide a set of identification conditions of peer effects and consider a 2SLS estimation approach. Large sample properties of the proposed estimators are derived. Simulation experiments show that the estimators perform well in finite samples. The model is used to study the effectiveness of policies where peer effects are seen as a mechanism through which the treatments could propagate through the network. When interactions among groups are at work, a shock on a treated group has effects on the non-treated. Our framework allows for quantifying how much of the indirect treatment effect is due to variations in the characteristics of treated peers (treatment contextual effects) and how much is because of variations in peer outcomes (peer effects).
|Date of creation:||Apr 2014|
|Date of revision:|
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- H. Kelejian, Harry & Prucha, Ingmar R., 2001.
"On the asymptotic distribution of the Moran I test statistic with applications,"
Journal of Econometrics,
Elsevier, vol. 104(2), pages 219-257, September.
- Harry H. Kelejian & Ingmar R. Prucha, 1999. "On the Asymptotic Distribution of the Moran I Test Statistic with Applications," Electronic Working Papers 99-002, University of Maryland, Department of Economics.
- Paul Goldsmith-Pinkham & Guido W. Imbens, 2013. "Social Networks and the Identification of Peer Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 253-264, July.
- Stanislav Anatolyev, 2013.
"Instrumental variables estimation and inference in the presence of many exogenous regressors,"
Royal Economic Society, vol. 16(1), pages 27-72, 02.
- Stanislav Anatolyev, 2012. "Instrumental variables estimation and inference in the presence of many exogenous regressors," Working Papers w0162, Center for Economic and Financial Research (CEFIR).
- Angelucci, Manuela & De Giorgi, Giacomo & Rangel, Marcos A. & Rasul, Imran, 2009.
"Family Networks and School Enrolment: Evidence from a Randomized Social Experiment,"
IZA Discussion Papers
4497, Institute for the Study of Labor (IZA).
- Angelucci, Manuela & De Giorgi, Giacomo & Rangel, Marcos A. & Rasul, Imran, 2010. "Family networks and school enrolment: Evidence from a randomized social experiment," Journal of Public Economics, Elsevier, vol. 94(3-4), pages 197-221, April.
- Manuela Angelucci & Giacomo De Giorgi & Marcos A. Rangel & Imran Rasul, 2009. "Family Networks and School Enrolment: Evidence from a Randomized Social Experiment," NBER Working Papers 14949, National Bureau of Economic Research, Inc.
- Liu, Xiaodong, 2013. "Estimation of a local-aggregate network model with sampled networks," Economics Letters, Elsevier, vol. 118(1), pages 243-246.
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