We build a publicly available database that tracks economic activity in the United States at a granular level in real time using anonymized data from private companies. We report weekly statistics on consumer spending, business revenues, job postings, and employment rates disaggregated by county, sector, and income group. Using the publicly available data, we show how the COVID-19 pandemic affected the economy by analyzing heterogeneity in its effects across subgroups.
View Article and Find Full Text PDFThe data demands during the pandemic heightened the need to blend information from numerous sources to get a more timely and granular picture of economic developments. Ongoing efforts include the Chicago Fed's weekly retail sales estimate, the Census Bureau's work on higher-frequency state-level retail sales data, the Federal Reserve Board's computations of business closures and weekly payrolls, and the academic Opportunity Insights team's estimates of spending, business revenues and employment by income and ZIP code.
View Article and Find Full Text PDFImportance: Traumatic injury disproportionately affects adults of working age. The ability to work and earn income is a key patient-centered outcome. The association of severe injury with work and earnings appears to be unknown.
View Article and Find Full Text PDFBackground: Acute health shocks can reduce the ability to work and earn among working-age survivors. The full economic impact includes labor market effects on spouses/partners, but there is a knowledge gap in this area.
Objectives: The objective of this study was to assess how 3 common health shocks, acute myocardial infarction, stroke, and cardiac arrest, influence work and earnings of spouses aged 35-61 years.
Background: Survivors of acute health events can experience lasting reductions in functional status and quality of life, as well as reduced ability to work and earn income. We aimed to assess the effect of acute myocardial infarction (MI), cardiac arrest and stroke on work and earning among working-age people.
Methods: For this retrospective cohort study, we used the Canadian Hospitalization and Taxation Database, which contains linked hospital and income tax data, from 2005 to 2013 to perform difference-in-difference analyses.
Importance: The relationship between income and life expectancy is well established but remains poorly understood.
Objectives: To measure the level, time trend, and geographic variability in the association between income and life expectancy and to identify factors related to small area variation.
Design And Setting: Income data for the US population were obtained from 1.