Heterogeneity in Damages from a Pandemic

Working Paper: NBER ID: w30658

Authors: Amy Finkelstein; Geoffrey Kocks; Maria Polyakova; Victoria Udalova

Abstract: We use linked survey and administrative data to document and decompose the striking differences across demographic groups in both economic and health impacts of the first year of the COVID-19 pandemic in the United States. The impacts of the pandemic on all-cause mortality and on employment were concentrated in the same racial, ethnic, and education groups, with non-White individuals and those without a college degree experiencing higher excess all-cause mortality as well as a greater employment loss. Observable differences in living arrangements and the nature of work – which likely affected exposure to the virus and to economic contractions – can explain 15 percent of the Hispanic-White difference in excess mortality, almost one-quarter of the non- Hispanic Black-White difference, and almost half of the difference between those with and without a Bachelor’s degree; they can also explain 35 to 40 percent of the differences in economic damages between these groups. These findings underscore the importance of non-medical factors in contributing to the disparate impacts of public health shocks.

Keywords: COVID-19; health impacts; economic impacts; demographic disparities

JEL Codes: I0


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
nonwhite individuals (J15)higher excess all-cause mortality (I12)
nonwhite individuals (J15)greater employment loss (J65)
observable differences in living arrangements and work nature (J29)disparities in excess mortality (I14)
observable differences in living arrangements and work nature (J29)disparities in economic damages (K13)
demographic factors (J11)exposure to pandemic's impacts (F69)

Back to index