Arbeitspapier

On the fit and forecasting performance of New Keynesian models

The paper provides new tools for the evaluation of DSGE models and applies them to a large-scale New Keynesian dynamic stochastic general equilibrium (DSGE) model with price and wage stickiness and capital accumulation. Specifically, we approximate the DSGE model by a vector autoregression (VAR) and then systematically relax the implied cross-equation restrictions. Let --denote the extent to which the restrictions are being relaxed. We document how the in- and out-of-sample fit of the resulting specification (DSGE-VAR) changes as a function of --. Furthermore, we learn about the precise nature of the misspecification by comparing the DSGE model’s impulse responses to structural shocks with those of the best-fitting DSGE-VAR. We find that the degree of misspecification in large-scale DSGE models is no longer so large as to prevent their use in day-to-day policy analysis, yet it is not small enough that it cannot be ignored.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 2004-37

Classification
Wirtschaft
Subject
Neukeynesianische Makroökonomik
Prognoseverfahren

Event
Geistige Schöpfung
(who)
Del Negro, Marco
Schorfheide, Frank
Smets, Frank
Wouters, Raf
Event
Veröffentlichung
(who)
Federal Reserve Bank of Atlanta
(where)
Atlanta, GA
(when)
2004

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Del Negro, Marco
  • Schorfheide, Frank
  • Smets, Frank
  • Wouters, Raf
  • Federal Reserve Bank of Atlanta

Time of origin

  • 2004

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