Suppr超能文献

社交网络、信息与医疗保健利用:来自米兰无证移民的证据

Social networks, information and health care utilization: evidence from undocumented immigrants in Milan.

作者信息

Devillanova Carlo

机构信息

Università Bocconi, via Gobbi 5, Milan, Italy.

出版信息

J Health Econ. 2008 Mar;27(2):265-86. doi: 10.1016/j.jhealeco.2007.08.006. Epub 2007 Dec 14.

Abstract

This paper uses a novel dataset and research design to examine the effects of information networks on immigrants' access to health care. The dataset consists of an unusually large sample of undocumented immigrants and contains a direct indicator of information networks-whether an immigrant was referred to health care opportunities by a strong social tie (relative or friend). This measure allows to overcome some of the major identification issues that afflict most of the existing literature on network effects and to concentrate on one of the channels through which social contacts might operate. The analysis focuses on the time spent in Italy before an immigrant first receives medical assistance. Estimates indicate that networks significantly foster health care utilization: after controlling for all available individual characteristics and for ethnic heterogeneity, I find that relying on a strong social tie reduces the time to visit by 30%. The effect of information networks is stable across specifications and it is relatively large. Further investigation seems to confirm the quantitative importance of networks as an information device.

摘要

本文使用了一个新颖的数据集和研究设计,来检验信息网络对移民获得医疗保健的影响。该数据集包含了一个异常大的无证移民样本,并且包含了信息网络的直接指标——即移民是否通过紧密的社会关系(亲戚或朋友)被转介到医疗保健机会。这一衡量标准有助于克服困扰大多数现有网络效应文献的一些主要识别问题,并专注于社会联系可能发挥作用的其中一个渠道。分析聚焦于移民首次获得医疗救助之前在意大利度过的时间。估计结果表明,网络显著促进了医疗保健的利用:在控制了所有可用的个人特征和种族异质性之后,我发现依靠紧密的社会关系会使就诊时间减少30%。信息网络的影响在各种设定下都很稳定,且相对较大。进一步的调查似乎证实了网络作为一种信息工具在数量上的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验