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Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities

Eleonora Patacchini, Tiziano Arduini and Edoardo Rainone

No 167, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: 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).

Keywords: Networks; Heterogeneous Peer Effects; Spatial Autoregressive Model; Two-Stage Least Squares; Efficiency; Policy Evaluation; Treatment Response; Indirect Treatment Effect (search for similar items in EconPapers)
JEL-codes: C13 C21 D62 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2014-04
New Economics Papers: this item is included in nep-ecm, nep-net and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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https://surface.syr.edu/cpr/199/ (application/pdf)

Related works:
Working Paper: Identification and estimation of outcome response with heterogeneous treatment externalities (2014) Downloads
Working Paper: Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities (2014) Downloads
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