The 2020 CARES Act directed large cash payments to households. We analyze households’ spending responses using data from a Fintech nonprofit, exploring heterogeneity by income, recent income declines, and liquidity as well as linked survey responses about economic expectations. Households respond rapidly to payments, with spending increasing by about $0.14 per dollar during the first week and plateauing around 0.25–0.30 over 3 months. In contrast to previous stimulus programs, we see little response of durables spending. Households with lower incomes, greater income declines, and less liquidity display stronger responses whereas households that expect employment losses and benefit cuts display weaker responses.

Many research papers in household finance utilize annual snapshots of household wealth from administrative data, such as tax registries, to calculate “imputed consumption.” However, trading costs, unobserved intrayear trades, or unobserved security characteristics may cause measurement error. We document how such errors vary across groups of individuals by income, portfolio characteristics, and wealth and how they are correlated with individual income and balance sheets, asset prices, and the business cycle using transaction-level retail brokerage account data. We find that the economic significance of imputation error is small in many research settings, and we discuss robustness checks and econometric specifications to minimize the impact of imputation error in future research.