The Demographic Impact of Leadership: Mayoral Education and COVID-19 Excess Mortality in Italy

This paper investigates whether the characteristics of locally elected officials influenced
excess mortality during the COVID-19 pandemic. Using data on Italy—
one of the first countries to be severely affected—we examine whether mayoral
education influenced municipal-level mortality outcomes. We estimate weekly
excess mortality using official death statistics and a Bayesian hierarchical spatiotemporal
model. To address endogeneity in political selection, we implement
a close-election Regression Discontinuity Design. We find that college-educated
mayors significantly reduced mortality during the first wave of the pandemic, by
lowering both the likelihood of excess deaths and the excess mortality rate. These
effects are not observed in the second wave, likely due to policy convergence and
a stronger role played by national and regional institutions. Our design interprets
education as a proxy for broader leadership traits, such as decision-making capacity
under uncertainty. The findings underscore that political selection can have
real demographic consequences, shaping population outcomes during crises.