An empirical examination of the implications of assortative matching on the incidence of HIV
利用旧金山家庭健康研究数据，分析人们基于HIV感染状态的选择性匹配行为，发现HIV阳性者更可能选择阳性伴侣，这种匹配使HIV发病率比标准流行病模型预测降低约三分之一。
Using data from The San Francisco Home Health Study (SFHHS), this paper analyzes the degree to which the incentives to avoid HIV infection result in infection-dependent (assortative) matching patterns based on HIV status. The incidence implications induced by such matching are compared to infection independent matching, an implicit assumption in canonical models within epidemiology. We estimate that an HIV-positive individual is more than twice as likely as an HIV-negative individual to have an HIV-positive partner, and that this results in a decrease in HIV incidence of about one-third compared to the predictions implied by standard epidemiological models.