When is Prevention More Profitable than Cure? The Impact of Time-Varying Consumer Heterogeneity

Working Paper: NBER ID: w18862

Authors: Michael Kremer; Christopher M. Snyder

Abstract: We argue that in pharmaceutical markets, variation in the arrival time of consumer heterogeneity creates differences between a producer's ability to extract consumer surplus with preventives and treatments, potentially distorting R&D decisions. If consumers vary only in disease risk, revenue from treatments--sold after the disease is contracted, when disease risk is no longer a source of private information--always exceeds revenue from preventives. The revenue ratio can be arbitrarily high for sufficiently skewed distributions of disease risk. Under some circumstances, heterogeneity in harm from a disease, learned after a disease is contracted, can lead revenue from a treatment to exceed revenue from a preventative. Calibrations suggest that skewness in the U.S. distribution of HIV risk would lead firms to earn only half the revenue from a vaccine as from a drug. Empirical tests are consistent with the predictions of the model that vaccines are less likely to be developed for diseases with substantial disease-risk heterogeneity.

Keywords: Prevention; Cure; Consumer Heterogeneity; Pharmaceutical Markets

JEL Codes: D42; I18; L11; O31


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Consumer heterogeneity in disease risk (D11)Firms' ability to extract consumer surplus from preventives (D43)
Firms' ability to extract consumer surplus from preventives (D43)Bias against investing in preventives compared to treatments (D91)
Disease risk skewness (C46)Revenue from treatments exceeds that from preventives (H51)
Revenue ratio between preventives and treatments (I11)Distribution of disease risk (I14)
Distribution of disease risk (I14)Bias against preventives (G52)
Consumer heterogeneity in disease risk (D11)Potential social welfare loss from R&D distortions (O39)
Heterogeneity in disease risk (I12)Likelihood of vaccine development (I15)
Heterogeneity in disease risk (I12)Drug development (O32)

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