The density of social networks and fertility decisions: Evidence from South Nyanza District, Kenya

被引:185
作者
Kohler, HP
Behrman, JR
Watkins, SC
机构
[1] Max Planck Inst Demog Res, D-18057 Rostock, Germany
[2] Ctr Populat Studies, Tallahassee, FL 32306 USA
[3] Univ Penn, Philadelphia, PA 19104 USA
关键词
D O I
10.1353/dem.2001.0005
中图分类号
C921 [人口统计学];
学科分类号
摘要
Demographers have argued increasingly that social interaction is an important mechanism for understanding fertility behavior. Yet it is still quite uncertain whether social learning or social influence is the dominant mechanism through which social networks affect individuals' contraceptive decisions. In this paper we argue that these mechanisms can be distinguished by analyzing the density of the social network and its interaction with the proportion of contraceptive users among network partners. Our analyses indicate that social learning is most relevant with high market activity; in regions with only modest market activity however, social influence is the dominant means by which social networks affect women's contraceptive use.
引用
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页码:43 / 58
页数:16
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