Indicators and Data
The China Cyclical Activity Tracker, China CAT, is an alternative measure of China’s economic growth based on research in Fernald, Hsu, and Spiegel (2019).
COVID-19 Forecasts by County projects future infection growth rates for various horizons using near real-time data on social distancing behavior, weather, vaccinations, and confirmed COVID-19 cases per capita. The forecasts are based on the estimated relationship between transmission factors and subsequent infection growth over the pandemic to date.
Cyclical and Acyclical Core PCE Inflation divides components of core personal consumption expenditures according to whether they move in tandem with economic cycles or are independent of the state of the overall economy.
The Daily News Sentiment Index is a high frequency measure of U.S. economic sentiment based on lexical analysis of economics-related news articles.
Inflation Sensitivity to COVID-19 divides core personal consumption expenditures inflation into components that are sensitive and insensitive to the economic disruptions caused by the pandemic.
PCE Inflation Dispersion statistics present a more detailed summary of the personal consumption expenditure price index (PCEPI), a measure of U.S. inflation. Included are measures of the distribution of price changes across categories and diffusion indices.
The Tech Pulse data updates have been discontinued.
Total Factor Productivity (TFP) presents a real-time, quarterly data series for the U.S. business sector, adjusted for variations in factor utilization—labor effort and capital’s workweek.
The Treasury yield premium model decomposes nominal bond yields of various maturities into three components: expectations of the average future short-term interest rate, a term premium, and a model residual.
The Wage Rigidity Meter offers a closer examination of the annual wage changes of U.S. workers that have not changed jobs over the year.
This page provides estimates of weather-adjusted employment change in the United States for the past six months. The estimates are aggregated from county-level estimates of weather’s employment effects, which were derived from a county-level analysis of the short-run effects of unusual weather on employment growth.