Cohen-Cole Ethan, Fletcher Jason M
Federal Reserve Bank of Boston, 600 Atlantic Avenue, Boston, MA 02210, USA.
J Health Econ. 2008 Sep;27(5):1382-7. doi: 10.1016/j.jhealeco.2008.04.005. Epub 2008 May 9.
This note's aim is to investigate the sensitivity of Christakis and Fowler's claim [Christakis, N., Fowler, J., 2007. The spread of obesity in a large social network over 32 years. The New England Journal of Medicine 357, 370-379] that obesity has spread through social networks. It is well known in the economics literature that failure to include contextual effects can lead to spurious inference on "social network effects." We replicate the NEJM results using their specification and a complementary dataset. We find that point estimates of the "social network effect" are reduced and become statistically indistinguishable from zero once standard econometric techniques are implemented. We further note the presence of estimation bias resulting from use of an incorrectly specified dynamic model.
本笔记的目的是研究克里斯塔基斯和福勒的观点[克里斯塔基斯,N.,福勒,J.,2007年。32年间肥胖症在一个大型社交网络中的传播。《新英格兰医学杂志》357卷,第370 - 379页]的敏感性,即肥胖症是通过社交网络传播的。在经济学文献中众所周知,未能纳入背景效应可能导致对“社交网络效应”的虚假推断。我们使用他们的设定和一个补充数据集来复制《新英格兰医学杂志》的结果。我们发现,一旦采用标准计量经济学技术,“社交网络效应”的点估计值会降低,并且在统计上与零没有区别。我们还注意到,使用错误设定的动态模型会导致估计偏差。