欧洲社交网络与劳动生产率：实证研究
Social networks and labour productivity in Europe: An empirical investigation
摘要：
本文使用AMADEUS数据库中的企业层面数据，对欧洲各国的劳动生产率分布进行了调查。我们发现，经验生产率分布的上尾遵循衰减幂律，其指数$α$是由Clementi等人（2006）最近开发的半参数估计技术获得的。生产率分布中“肥尾”的出现已经在Di Matteo et al.（2005）中被发现，并通过社会网络模型进行了解释。在这里，我们表明，这个模型是测试在更广泛的国家样本具有不同的模式的社会网络结构。这些不同的社会态度，使用社会资本指标衡量，反映在幂律指数估计，以这种方式验证企业的生产力绩效和社会网络之间的联系的存在。
英文摘要：
This paper uses firm-level data recorded in the AMADEUS database to investigate the distribution of labour productivity in different European countries. We find that the upper tail of the empirical productivity distributions follows a decaying power-law, whose exponent $α$ is obtained by a semi-parametric estimation technique recently developed by Clementi et al. (2006). The emergence of "fat tails" in productivity distribution has already been detected in Di Matteo et al. (2005) and explained by means of a model of social network. Here we show that this model is tested on a broader sample of countries having different patterns of social network structure. These different social attitudes, measured using a social capital indicator, reflect in the power-law exponent estimates, verifying in this way the existence of linkages among firms' productivity performance and social network.
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