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Forecasts of the Lost Recovery

Author

Listed:
  • Michael Cai
  • Marco Del Negro
  • Marc Giannoni
  • Abhi Gupta
  • Pearl Li

Abstract

The years following the Great Recession were challenging for forecasters for a variety of reasons, including an unprecedented policy environment. This post, based on our recently released working paper, documents the real-time forecasting performance of the New York Fed dynamic stochastic general equilibrium (DSGE) model in the wake of the Great Recession. We show that the model’s predictive accuracy was on par with that of private forecasters and proved to be quite a bit better, at least in terms of GDP growth, than that of the median forecasts from the Federal Open Market Committee’s (FOMC) Summary of Economic Projections (SEP).

Suggested Citation

  • Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li, 2018. "Forecasts of the Lost Recovery," Liberty Street Economics 20180509, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednls:87256
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    More about this item

    Keywords

    Great Recession; Real-time Forecasts; DSGE Models; Financial Frictions;
    All these keywords.

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • G01 - Financial Economics - - General - - - Financial Crises

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