Identification of treatment response with social interactions

By Charles F. Manski. 2012

392 citations recorded by the source corpus.

Subfields: Education, Safety Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/81d709de82d97e86ac016ce1549e84a289d7b2a8

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Citations in the corpus

The Estimation of Causal Effects by Difference-in-Difference Methods (2011, background): “12 Manski (2011) calls this assumption individualistic treatment response and analyses identification if it does not hold.”
Social Networks and Causal Inference (2013, background): “…interference or spillover effects in which the exposure of one individual can affect the outcomes of others (Hong and Raudenbush 2006; Sobel 2006; Rosenbaum 2007; Hudgens and Halloran 2008; Graham 2008; VanderWeele and Tchetgen Tchetgen 2011; Tchetgen Tchetgen and VanderWeele 2012; Manski 2013).”
Causal inference with misspecified exposure mappings: separating definitions and assumptions (2021, methodology): “The exposure mapping idea was taken to full generality by Manski (2013) and by Aronow and Samii (2017).”
Elements of estimation theory for causal effects in the presence of network interference (2017, background): “This is also referred to as anonymous interference [Manski, 2013] or no peer-effect-heterogeneity [Athey et al.”
Graph cluster randomization: network exposure to multiple universes (2013, background): “The fundamental quantity we are interested in is the average treatment effect, τ , between the two diametrically opposite universes (cid:126)z = (cid:126) 1 and (cid:126)z (cid:48) = (cid:126) 0 , Y i ( (cid:126)z = (cid:126) 1) − Y i ( (cid:126)z = (cid:126) 0) .”
Estimating peer effects in networks with peer encouragement designs (2016, methodology): “In SI Appendix , we combine this assumption with a specific model of local interference (50, 51) to conduct analyses quantifying the sensitivity of our results to nuisance interference.”
Estimating Direct and Indirect Effects of Foreign Direct Investment on Firm Productivity in the Presence of Interactions between Firms (2014, background): “6 Seminal theoretical papers on “causal inference with interactions” include Sobel (2006); Rosenbaum (2007); Hudgens and Halloran (2008) and Manski (2013).”
On causal inference in the presence of interference (2010, background): “(2) Total causal effects are not commutative, for instance TEð 0, 1Þ 61⁄4 TEð 1, 0Þ: However, IEð 0, 1Þ 1⁄4 IEð 1, 0Þ1⁄4)DE 0 ð Þ þDE 1 ð Þ 1⁄4 TEð 0, 1Þ þ TEð 1, 0Þ, so that while the total causal effects are not necessarily equal, they are constrained in sum to equal the sum of direct effects.”
Large sample randomization inference of causal effects in the presence of interference (2014, background): “In econometric studies, interference may be present between households in the same neighborhood (Sobel 2006) or other settings where individuals interact socially (Manski 2012).”