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Comparing DSGE-VAR forecasting models: How big are the differences?

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  • Ghent, Andra C.

Abstract

I generate priors for a vector autoregression (VAR) from a standard real business cycle (RBC) model, an RBC model with capital-adjustment costs and habit formation, and a sticky-price model with an unaccommodating monetary authority. The response of hours worked to a TFP shock differs sharply across these models. I compare the accuracy of forecasts made from each of the resulting dynamic stochastic general equilibrium vector autoregression (DSGE-VAR) models. Despite having different structural characteristics, the DSGE-VARs are comparable in terms of forecasting performance. As in previous work, DSGE-VARs compare favorably with atheoretical VARs.

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  • Ghent, Andra C., 2009. "Comparing DSGE-VAR forecasting models: How big are the differences?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 864-882, April.
    • Handle: RePEc:eee:dyncon:v:33:y:2009:i:4:p:864-882
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    9. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    10. Stelios D. Bekiros & Alessia Paccagnini, 2016. "Policy‐Oriented Macroeconomic Forecasting with Hybrid DGSE and Time‐Varying Parameter VAR Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(7), pages 613-632, November.
    11. Bekiros, Stelios D. & Paccagnini, Alessia, 2015. "Macroprudential Policy And Forecasting Using Hybrid Dsge Models With Financial Frictions And State Space Markov-Switching Tvp-Vars," Macroeconomic Dynamics, Cambridge University Press, vol. 19(7), pages 1565-1592, October.
    12. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
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