Social Interactions, Local Spillovers and Unemployment
构建了一个包含本地社会互动和就业信息交换的模型，利用芝加哥人口普查区数据估计，发现相邻区域间存在显著的正向社会互动，且对低教育程度和少数族裔比例高的地区影响更强，同时受种族分界和社区边界影响。
I analyse a model that explicitly incorporates local interactions and allows agents to exchange information about job openings within their social networks. Agents are more likely to be employed if their social contacts are also employed. The model generates a stationary distribution of unemployment that exhibits positive spatial correlations. I estimate the model via an indirect inference procedure, using Census Tract data for Chicago. I find a significantly positive amount of social interactions across neighbouring tracts. The local spillovers are stronger for areas with less educated workers and higher fractions of minorities. Furthermore, they are shaped by ethnic dividing lines and neighbourhood boundaries.