On the fit and forecasting performance of New Keynesian models

Marco Del Negro, Frank Schorfheide, Frank Smets and Raf Wouters

No 2004-37, FRB Atlanta Working Paper from Federal Reserve Bank of Atlanta

Abstract: 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.

Date: 2004
New Economics Papers: this item is included in nep-dge, nep-ecm and nep-mac
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Citations: View citations in EconPapers (31)

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Related works:
Working Paper: On the Fit and Forecasting Performance of New Keynesian Models (2005)
Working Paper: On the fit and forecasting performance of New-Keynesian models (2005)
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