Macroeconomic Data
Macroeconomic data are statistical information that reflect an economy’s overall performance and behavior. They encompass indicators produced by statistical agencies, such as GDP, inflation, and employment, as well as indexes and forecasts derived from these indicators. Analysts and policymakers use these data to assess an economy’s health, identify trends, and make informed decisions.
About Our Products
In the sections below, you will find links to:
- A monthly data release that tracks the rate at which workers transition from one employer to another. A faster pace of employer-to-employer transition tends to imply higher wage and productivity growth, since workers typically leave one job for another to pursue better opportunities.
- A dynamic stochastic general equilibrium model forecast (PRISM-II) of the U.S. economy. This model comprises about 30 equations and is estimated/simulated using the MATLAB programming language.
- An interactive tool for understanding how different monetary policy rules could shape the U.S. economy. It shows how alternative policy rules affect projections for major economic indicators, including gross domestic product growth, personal consumption expenditures inflation, the unemployment rate, and the federal funds rate.
Featured Data Sets
Fujita, Moscarini, and Postel-Vinay Employer-to-Employer Transition Probability
Fujita, Moscarini, and Postel-Vinay Employer-to-Employer Transition Probability tracks the rate at which U.S. workers transition from one employer to another in a given month.
Updated: 13 Mar ’26
Philadelphia Research Intertemporal Stochastic Model-II (PRISM-II)
The Philadelphia Research Intertemporal Stochastic Model-II (PRISM-II) is the second-generation dynamic stochastic general equilibrium (DSGE) model that is being developed by the Research Department of the Federal Reserve Bank of Philadelphia.
Updated: 20 Mar ’26
Monetary Policy Benchmarks
Benchmarks for monetary policy according to rules in the Philadelphia Fed macroeconomic model.
Updated: 25 Mar ’26