قارن الطرق

	اقتصاديات قياس الشبكات (تأثيرات الأقران)	نموذج التباطؤ المكاني (SAR / الانحدار الذاتي المكاني)
المجال	الاقتصاد القياسي	التحليل المكاني
العائلة	Regression model	Regression model
سنة النشأة	2009	1988
صاحب الطريقة	Yann Bramoullé, Habiba Djebbari & Bernard Fortin	Anselin (textbook formalisation); LeSage & Pace
النوع	Linear-in-means peer effects regression	Spatial autoregressive regression
المصدر التأسيسي	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.
الأسماء البديلة	Social Interactions Model, Peer Effects Model, Social Network Regression, Ağ Ekonometrisi	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
ذات صلة	3	5
الملخص	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.