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MIT Open Economy·April 5, 2023

The Puzzle of Preventive Health: Demand, Incentives, and Behavioral Biases

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Summary

This lecture delves into the perplexing disconnect between the high demand for curative medicine and the surprisingly low uptake of preventive care, even when the latter is highly effective and low-cost. The speaker highlights observations from both developed and developing contexts, such as the preference for antibiotics over vaccinations in India and the hesitancy towards COVID-19 vaccines despite their proven efficacy. A central argument is the high price elasticity of demand for preventive health goods, where even small positive costs lead to significant drops in adoption, and conversely, small incentives can dramatically increase take-up. This phenomenon challenges traditional economic models that assume rational decision-making based on perceived benefits and costs, especially when the benefits of prevention are substantial and the costs are minimal.

The lecture explores several nuances and potential explanations for this behavior. One distinction is between the 'zero-price effect,' where free goods attract people with no genuine interest in the health benefit (e.g., using bed nets as fishing nets), and the idea that paying nothing for a good reduces its perceived value. However, studies show that conditional on acquiring a preventive good, usage rates are similar regardless of whether it was free or had a small cost, suggesting the high price elasticity is real and not just an artifact of attracting uninterested users. The discussion also differentiates between small incentives, which work for those who already value the preventive action but face inertia, and mandates, which are necessary for those with strong objections or misinformation.

Practical insights emerge from various field experiments. Small, in-kind incentives, such as lentils or plates for childhood immunizations in India, were shown to significantly boost vaccination rates, making the overall program more cost-effective due to increased nurse utilization. This suggests that for individuals who acknowledge the benefits but struggle with the 'hassle costs' or present bias, such incentives can be highly effective. The lecture also touches upon the role of 'choice architecture' through default options and mandates, which can overcome present bias by making the desired behavior the path of least resistance. Commitment devices, like those used for smoking cessation, further illustrate how individuals can pre-commit to future actions to overcome self-control problems.

Broader implications extend to public health policy and behavioral economics. The speaker questions whether present bias, while intuitively appealing, fully explains the persistent low take-up, especially when preventive opportunities are regularly available (e.g., monthly immunization camps). The 'quantitative puzzle' arises because if benefits are truly large, individuals should eventually overcome short-term costs. An alternative explanation proposed is a lack of information or misperception of benefits, where people simply don't realize the true value of preventive actions. The lecture concludes by emphasizing the need to understand these underlying behavioral mechanisms to design more effective public health interventions, particularly in contexts like adult vaccination where social norms and misinformation might play a more significant role than mere inertia.

Key Quotes

why people seem to want treatments like antibiotics and steroids but not vaccination or other preventive care
the same people who want to consume in invermectin and uh and and who refuse to get vaccinated
people are willing to spend like 5,000 rupees on Health on some extreme on some extreme event which is much more important because they consume uh usually so they are willing to go into debt in order to get antibiotics
there is a surprisingly low take up for a preventive medicine for example that some example of udaipur a few years ago less than five percent of children were fully immunized against the you know the basic childhood diseases
in particular at very very low prices a steep fall in demand not necessarily exactly at zero
the very fact that you've paid zero for a good makes you think it's worth worth less
the use of dependence is actually the same regardless of the prices you take it and you get you paid
it is less clear that someone might be convinced by a small incentive if they don't want it in the first place
it really requires people to to to keep being full by themselves you know you have to think I'm gonna I'm not gonna do it today but I value it and I'm going to do it tomorrow but then when tomorrow rolls along you again not do it
quantitatively it makes no sense at some level
the benefits the costs are low and also the benefits are low not the real one but the perceived one

Concepts

Themes

  • Behavioral economics in health
  • Barriers to preventive health adoption
  • Effectiveness of incentives and nudges
  • The role of information and perception in health decisions
  • Policy implications for public health
  • Rationality vs. irrationality in health choices
  • Global health disparities and interventions

Related to:

Economics Insights

Geographic Locations Studied

  • Udaipur (India)
  • Haryana (India)
  • Kenya
  • Netherlands
  • Pakistan
  • Ethiopia
  • Philippines
  • Chile
  • U.S.

Interventions Discussed

  • Small in-kind incentives (lentils, plates)
  • Lottery tickets
  • Regular immunization camps
  • Default options/mandates
  • Commitment savings accounts
  • Information campaigns

Behavioral Biases Explored

  • Present bias/hyperbolic discounting
  • Perceived value of free goods
  • Information gaps/misinformation
  • Inertia

Policy Recommendations Implied

  • Subsidies for preventive care
  • Well-designed incentive programs
  • Mandates for public health
  • Facilitating commitment devices
  • Improving access and convenience
  • Targeted information dissemination

Key Findings

  • High price elasticity for preventive goods
  • Small incentives can significantly increase take-up
  • Zero-price effect is real but not solely due to attracting uninterested individuals
  • Present bias is a plausible but quantitatively insufficient explanation for persistent low take-up
  • Perceived benefits often differ from real benefits

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