On the Fit and Forecasting Performance of New Keynesian Models

By Marco del Negro, Frank Schorfheide, Frank Smets, Raf Wouters. Social Science Research Network, 2005

315 citations recorded by the source corpus.

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.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/7297ffe543c9335e7d9b472cb41240da4519262f

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In Economics and Econometrics

  1. Alejandro Justiniano
  2. Giorgio E. Primiceri
  3. Andrea Tambalotti
  4. Mattias Villani
  5. Malin Adolfson
  6. J. Lindé
  7. Tom Sargent
  8. Timothy Cogley

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