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On the Fit and Forecasting Performance of New Keynesian Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Del Negro, Marco
Schorfheide, Frank
Smets, Frank
Wouters, Rafael
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The Paper provides new tools for the evaluation of DSGE models, and applies it 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 delta 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 delta. 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 to prevent their use in day-to-day policy analysis, yet it is not small enough that it cannot be ignored.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
4848.
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Date of creation: Jan 2005Date of revision:
Handle: RePEc:cpr:ceprdp:4848Contact details of provider: Postal: Centre for Economic Policy Research, 53--56 Great Sutton Street, London EC1V 0DG Phone: 44 - 20 - 7183 8801 Fax: 44 - 20 - 7183 8820
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Keywords: Bayesian Analysis DSGE models model evaluation vector autoregression Other versions of this item:
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
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