Behrman Jere R, Kohler Hans-Peter, Watkins Susan Cotts
Population Studies Center, University of Pennsylvania, McNeil 160, 3718 Locust Walk, Philadelphia, PA 19104-6297, USA.
Demography. 2002 Nov;39(4):713-38. doi: 10.1353/dem.2002.0033.
The impacts of social networks on changes in contraception in rural Kenya are investigated using special data from a longitudinal household survey. An analytic model, informed by detailed knowledge of the setting, yielded estimates that indicate that (1) social networks have substantial effects even after unobserved factors (e.g., homophily) that may determine social networks are controlled; (2) controlling for these unobserved factors may substantially alter the estimated effects of networks (these controls were not used in previous studies); (3) network effects are important for both men and women; and (4) network effects are nonlinear and asymmetric, suggesting that networks provide information primarily through social learning, rather than by exerting social influence.
利用一项纵向家庭调查的特殊数据,对肯尼亚农村地区社交网络对避孕方式变化的影响进行了调查。一个基于对该环境详细了解的分析模型得出的估计结果表明:(1)即使在控制了可能决定社交网络的未观察因素(如同质性)之后,社交网络仍有重大影响;(2)控制这些未观察因素可能会大幅改变网络效应的估计结果(以往研究未使用这些控制变量);(3)网络效应在男性和女性中都很重要;(4)网络效应是非线性且不对称的,这表明网络主要通过社会学习而非施加社会影响来提供信息。