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Abstract
The study of social interactions has enriched both the domain of inquiry of economists and the way economists conceptualize individual decision making. The review aims to introduce the classes of models that accommodate estimation of social interactions and to examine the key areas where significant advances have been made in the identification of social effects. It surveys linear and nonlinear models and their applications, including results regarding partial identification. The review also examines conceptual and methodological links with the spatial econometrics and the social networks literatures. It considers empirical applications in the context of our methodological overview.