Social Networks and the Identification of Peer Effects

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The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “A seminal paper in the econometric literature is Manski’s linear-in-means model (Manski [1993], Bramoullé and Fortin [2009], Goldsmith-Pinkham and Imbens [2013]).”
Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity (2018, methodology): “In particular, (32) implies that linear and quadratic moments are uncorrelated, while (33) implies that the linear quadratic forms are uncorrelated over time.”
Identification and Estimation of Spillover Effects in Randomized Experiments (2017, background): “Another body of research has analyzed causal inference under interference from a designbased perspective in which potential outcomes are fixed and all randomness is due to the (known) treatment assignment mechanism (see Tchetgen Tchetgen and VanderWeele, 2012; Ogburn and VanderWeele, 2014; Halloran ”
Econometrics of Network Formation (2016, methodology): “This approach has been taken in Goldsmith-Pinkham and Imbens (2013), Boucher and Mourifié (2012), and Leung (2014).”
Heterogeneous peer effects in education (2014, neutral): “b∞ = lim →∞ P b = ⎜⎝ 13 = 0333 49 = 0444 29 = 0222 ⎟⎠ (26)”