Fidelity Networks and Long-Run Trends in HIV/AIDS Gender Gaps
- (pp. 298-302)
AbstractMore than half of the HIV/AIDS-infected population today are women. We study a dynamic model of (in)fidelity, which explains the HIV/AIDS gender gap by the configuration of sexual networks. Each individual desires sexual relationships with opposite sex individuals. Two Markov matching processes are defined, each corresponding to a different culture of gender relations. The first process leads to egalitarian pairwise stable networks in the long run, and HIV/AIDS is equally prevalent among men and women. The second process leads to anti-egalitarian pairwise stable networks reflecting male domination, and women bear a greater burden. The results are consistent with empirical observations.
Citation2013. "Fidelity Networks and Long-Run Trends in HIV/AIDS Gender Gaps." American Economic Review, 103 (3): 298-302. DOI: 10.1257/aer.103.3.298
- I12 Health Production
- J16 Economics of Gender; Non-labor Discrimination
- O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration