Individuals learn about their health risks from witnessing family members’ health experiences. I assess how the (mis)-interpretation of this risk information limits the potential welfare gains from informational spillovers, using household health shocks as quasi-random risk signals. Adverse health events generate strong, persistent spillover effects within a family, increasing spending by about 10\% annually among unaffected household members. I show that these responses are more consistent with households reevaluating their health risks than other potential mechanisms; however, responses include increased utilization of both high- and low-return services. To evaluate welfare effects, I estimate a structural model of health choices in which individuals learn about their health risks as health events reveal information. The model suggests that consumers over-respond to health information by over-weighting their health risks, resulting in welfare losses averaging $2,788. Placing bounds on how consumers update their beliefs in response to risk information improves welfare for 86% of households. My analysis suggests that the revelation of health risk information can be optimally targeted on household demographics to improve social welfare gains.’
You can also access a slide deck describing the paper here.
Online appendices are contained in separate files, accessible here.
- Appendix A: Notes on Data Cleaning
- Appendix B: Additional Reduced-Form Estimation Results
- Appendix C: Notes on the Structural Model
- Appendix D: Additional Structural Estimation Results
Recommended citation: Hoagland, A. (2023). An Ounce of Prevention or a Pound of Cure? The Value of Health Risk Information. Working Paper.