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Economic vs. Epidemiological Approaches to Measuring the Human Capital Impacts of Infectious Disease Elimination (WP-22-29)

Caroline Chuard, Hannes Schwandt, Alexander Becker, and Masahiko Haraguchi

A rich economic literature has examined the human capital impacts of disease-eliminating health interventions, such as the rollout of new vaccines. This literature is based on reduced-form approaches which exploit proxies for disease burden, such as mortality, instead of actual infection counts, which are difficult to measure. The researchers develop an epidemiological dynamic accounting model based on the susceptible-infected-recovered (SIR) framework to derive precise measles infection shares across U.S. cohorts born around the introduction of the measles vaccine. Measles is highly infectious and fully immunizing which makes the disease an ideal candidate for epidemiological modeling. The authors’ epidemiological model is strongly predictive of future measles outbreaks, but the derived measles infection shares are not systematically related to cohorts’ later educational, economic, or health outcomes. The reduced-form approach, on the other hand, shows that these long-term outcomes strongly improved among vaccinated cohorts in states with high pre-vaccine measles mortality. The researchers’ results suggest that differences in disease severity are more relevant for long-term human capital impacts than raw differences in actual infection rates, supporting the reduced-form approach used in the economic literature.

Caroline Chuard, Postdoctoral Fellow, Swiss Institute for Empirical Economic Research, University of St. Gallen

Hannes Schwandt, Assistant Professor of Human Development and Social Policy and IPR Fellow, Northwestern University

Alexander Becker

Masahiko Haraguchi, Visiting Researcher, Research Institute for Humanity and Nature, Kyoto

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