Comparer des méthodes

	Économétrie des réseaux (Effets de pairs)	Modèle de retard spatial (SAR / Autoregressive Spatial)
Domaine	Économétrie	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	2009	1988
Auteur d'origine	Yann Bramoullé, Habiba Djebbari & Bernard Fortin	Anselin (textbook formalisation); LeSage & Pace
Type	Linear-in-means peer effects regression	Spatial autoregressive regression
Source fondatrice	Bramoullé, Y., Djebbari, H., & Fortin, B. (2009). Identification of peer effects through social networks. Journal of Econometrics, 150(1), 41–55.	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
Alias	Social Interactions Model, Peer Effects Model, Social Network Regression, Ağ Ekonometrisi	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Apparentées	3	5
Résumé	Network econometrics estimates how individuals' outcomes are causally shaped by the behaviour and characteristics of their social-network neighbours. Formalised by Bramoullé, Djebbari, and Fortin (2009), the framework embeds a row-normalised adjacency matrix into a linear regression, separating endogenous peer effects (imitation of outcomes), exogenous contextual effects (influence of neighbours' attributes), and correlated effects (shared environment), while using network topology to construct valid instruments.	The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.