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Adverse Selection in the Marriage Market: HIV Testing and Marriage in Rural Malawi
Asymmetric information in the marriage market may cause adverse selection and delay marriage if partner quality is revealed over time. Sexual safety is an important but hidden partner attribute, especially in areas where HIV is endemic. A model of positive assortative matching with both observable (attractiveness) and hidden (sexual safety) attributes predicts that removing the asymmetric information about sexual safety accelerates marriage and pregnancy for safe respondents, and more so if they are also attractive. Frequent HIV testing may enable safe people to signal and screen. Consistent with these predictions, we show that a high-frequency, "opt-out" HIV testing intervention changed beliefs about partner's safety and accelerated marriage and pregnancy, increasing the probabilities of marriage and pregnancy by 26 and 27 percent for baseline-unmarried women over 28 months. Estimates are larger for safe and attractive respondents. Conversely, a single-test intervention lacks these effects, consistent with other HIV testing evaluations in the literature. Our findings suggest that an endogenous response to HIV risk may explain why the HIV/AIDS epidemic has coincided with systematic marriage and pregnancy delays.
The Market for High-Quality Medicine: Retail Chain Entry and Drug Quality in India
This study examines the effect of chain store entry on drug quality and prices in India. In contrast to prevailing mom-and-pop pharmacies, chains exploit scale economies in distribution and signaling to offer high-quality drugs at lower cost. We show that chain entry leads to a 5% improvement in drug quality and a 2% decrease in prices at incumbent retailers. Effects are larger for locally distributed drug brands but do not depend on consumer SES. Our findings suggest that in markets with asymmetric information, organizational technologies such as chains can play an important role translating market expansion into higher quality.
The Economic Impact of Depression Treatment in India: Evidence from Community-Based Provision of Pharmacotherapy
This study evaluates the impact of depression treatment on economic behavior in Karnataka, India. We cross-randomize pharmacotherapy and livelihoods assistance among 1,000 depressed adults and evaluate impacts on depression severity, socioeconomic outcomes, and several potential pathways. When combined, the interventions reduce depression severity, with benefits that persist after treatment concludes. Pharmacotherapy alone has a weaker effect that is only marginally significant and dissipates sooner. Depression treatment does not significantly increase earnings, consumption, or human capital investment in children. (JEL I12, I15, I18, J13, J22, J31, O15)
Assortative Matching under Asymmetric Information: Evidence from Malawi
Asymmetric information is a key feature of the marriage market. In HIV-endemic settings, HIV risk is an important partner attribute that may influence marriage timing and partner selection. We use a sample of married women in rural Malawi to validate a model of positive assortative matching under asymmetric information. Several correlations support this framework, suggesting that HIV risk contributes to adverse selection in the marriage market in this setting.