摘要 ：
本文在身份定位模型框架下研究社会网络层次对农民工工资水平的影响。基于2009年北京市农民工调查数据的计量结果，支持了高层次社会网络影响归属该网络的农民工、使得后者工资水平提高的假设；支持了高层次社会网络除了帮助农民工找工作之外，也可以在就业后通过影响行为模式和生产率来提高工资水平的假设。本文用倾向得分匹配的平均处置效应处理可能的内生性偏误，结论通过了较为严格的稳健性检验。政府鼓励农民工构建基于城市就业和生活的新型社会关系以及高质量的社会网络，不仅可能提高农民工的劳动生产率和相应的工资水平，而且可能提高整个国家人力资本投资的回报水平和劳动生产率水平。

This paper discusses the effect of the levels of social network on the wage of rural - urban migrants with the applying of identity model. The empirical analysis,using the 2009 surveys for rural - urban migrants in Beijing, shows that the high - level social network can affect the migrants belonging to it and raise their wages; after controlling the effects on job seeking, the levels of social network can still influence migrants ＇ wage positively, indicating that the channel also lies in effects on productivity and behavior patterns. We get those conclusions after robustness tests and resolving the endogeneity problem by identifying ATT matching on propensity scores. Our results indicates that if the government encourages the migrants to construct new social capitals and high - level social networks, then not only the productivity and the wage of individuals can be increased,but also the return on human capital and the productivity of the whole country can be improved.

 

关键词：
社会网络层次、身份定位模型 、农民工工资水平 、平均处置、

Levels of Social Network、Identity Model、Wages of Rural- Urban Migrants、Average Treatment Effect

 

来源： 

“社会网络层次与农民工工资水平”,《经济评论》，2012年第4期，第31-43页。（叶静怡、薄诗雨、刘丛、周晔馨）(本文被中国人民大学复印报刊资料《农业经济研究》2012年第10期全文转载) 

 

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