Neighborhoods, Networks, and Delivery Methods

Emilia Barili, P. Bertoli, V. Grembi
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引用次数: 2

Abstract

We examine the contribution of information transmission among pregnant women to geographic variation in C-sections in Lombardy, Italy. Defining networks as pregnant women living in the same municipality, we observe that if the incidence of C-sections within the womans network is one standard deviation higher over the 12 months preceding delivery, then her probability of delivering by C-section is 0.007 percentage points (3%) higher. This result is mainly a network effect on Italian women, while it arises from both network and neighborhood effects on foreign women. Both groups respond to additional information, such as the incidence of C-section complications. The selection of pregnant women across hospitals does not uniquely explain our results, which are robust to alternative sample selections and specifications.
社区、网络和交付方法
我们研究了在伦巴第,意大利孕妇之间的信息传递对剖腹产的地理差异的贡献。将网络定义为居住在同一城市的孕妇,我们观察到,如果在分娩前的12个月里,妇女网络内的剖腹产发生率高出一个标准差,那么她剖腹产的概率就高出0.007个百分点(3%)。这一结果对意大利女性的影响主要是网络效应,而对外国女性的影响主要是网络效应和邻里效应。两组都对其他信息有反应,比如剖腹产并发症的发生率。孕妇跨医院的选择并不能唯一地解释我们的结果,这是稳健的替代样本选择和规范。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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