A Multinomial-Choice Model of Neighborhood Effects
提出了一个包含邻里效应的个体决策模型，将二元选择模型推广到多项选择，并具备计量可实施性，可用于邻里效应的结构估计。
This paper provides a model of individual decisionmaking in the presence of neighborhood effects. By neighborhood effects, we refer to interdependencies between individual decisions and the decisions and characteristics of others within a common neighborhood. As such, neighborhood effects are forms of social interactions; in fact the terms would seem to be interchangeable in many contexts. Within economics, there has developed an increasing recognition that neighborhood effects play a possibly major role in explaining a range of individual behaviors; rich empirical and theoretical literatures have developed. A failing of much of this work is the absence of strong connections between theory and empirics. This paper addresses this limitation by providing a model of multinomial choice with neighborhood effects. The model represents a generalization of the binary choice model of William Brock and Steven Durlauf (2001a,b). The model is econometrically implementable and so has the potential of allowing for structural estimation of neighborhood effects. Section I outlines a basic choice model with neighborhood effects. Section II specializes the structure using a multinomial logit framework. Section III considers econometric implementation. Section IV discusses some limitations of the framework and proposes some research directions. Proofs of all theorems may be found in Brock and Durlauf (2001c).