The New York Fed DSGE model: A post-Covid assessment

Arbeitspapier

We document the real-time forecasting performance for output and inflation of the New York Fed dynamic stochastic general equilibrium (DSGE) model since 2011. We find the DSGE's accuracy to be comparable to that of private forecasters before Covid, but somewhat worse thereafter.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Staff Report ; No. 1082

Classification and Topics

• Classification: Wirtschaft ; Interest Rates: Determination, Term Structure, and Effects ; Financial Markets and the Macroeconomy ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Bayesian Analysis: General ; Quantitative Policy Modeling
• Subject: DSGE models ; real-time forecasts ; inflation

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Del Negro, Marco ; Dogra, Keshav ; Gleich, Aidan ; Gundam, Pranay ; Lee, Donggyu ; Nallamotu, Ramya ; Pacula, Brian
• Event: Veröffentlichung
• (who): Federal Reserve Bank of New York
• (where): New York, NY
• (when): 2024

Further information

• DOI: doi:10.59576/sr.1082
• Handle: http://hdl.handle.net/10419/284042
• Last update: 10.03.2025, 11:42 AM CET