Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Empirical evidence suggests that people's risk-perceptions are often systematically biased. This paper develops a simple framework to analyse public policy when this is the case. Expected utility (well-being) is shown to depend on both objective and perceived risks (beliefs). The latter are important because of the fear associated with the risk and as a basis for corrective taxation and second-best adjustments. Optimality rules for public provision of risk-reducing investments, "internality-correcting" taxation (e.g. fat taxes) and provision of costly information to reduce people's risk-perception bias are presented.