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Disciplining expectations and the forward guidance puzzle

Author

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  • Christoffel, Kai
  • Mazelis, Falk
  • Montes-Galdón, Carlos
  • Müller, Tobias

Abstract

Forward guidance operates via the expectations formation process of the agents in the economy. In standard quantitative macroeconomic models, the expectations are unobserved state variables and little scrutiny is devoted to analysing the dynamic behaviour of these expectations. We show that the introduction of survey and financial market-based forecasts in the estimation of the model disciplines the expectations formation process in DSGE models. When the model-implied expectations are matched to observed expectations, the additional information of the forecasts restrains the agents’ expectations formation. We argue that the reduced volatility of the agents’ expectations dampens the model reactions to forward guidance shocks and improves the out-of-sample forecast accuracy of the model. Furthermore, we evaluate the case for introducing a discount factor as a reduced form proxy for a variety of microfounded approaches, proposed to mitigate the forward guidance puzzle. Once data on expectations is considered, the empirical support to introduce a discount factor dissipates. JEL Classification: C13, C52, E3, E47, E52

Suggested Citation

  • Christoffel, Kai & Mazelis, Falk & Montes-Galdón, Carlos & Müller, Tobias, 2020. "Disciplining expectations and the forward guidance puzzle," Working Paper Series 2424, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20202424
    Note: 85234
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    Cited by:

    1. Haderer, Michaela, 2022. "An Estimated DSGE Model of the Euro Area with Expectations about the Timing and Nature of Liftoff from the Lower Bound," Working Papers 2022-05, University of Sydney, School of Economics.
    2. Gregory de Walque & Thomas Lejeune & Ansgar Rannenberg, 2023. "Empirical DSGE model evaluation with interest rate expectations measures and preferences over safe assets," Working Paper Research 433, National Bank of Belgium.
    3. Christoffel, Kai & de Groot, Oliver & Mazelis, Falk & Montes-Galdón, Carlos, 2020. "Using forecast-augmented VAR evidence to dampen the forward guidance puzzle," Working Paper Series 2495, European Central Bank.
    4. Boeck, Maximilian & Feldkircher, Martin, 2021. "The Impact of Monetary Policy on Yield Curve Expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 887-901.
    5. Sara Cecchetti & Davide Fantino & Alessandro Notarpietro & Marianna Riggi & Alex Tagliabracci & Andrea Tiseno & Roberta Zizza, 2021. "Inflation expectations in the euro area: indicators, analyses and models used at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers) 612, Bank of Italy, Economic Research and International Relations Area.
    6. Meggiorini, Greta, 2023. "Behavioral New Keynesian Models: An empirical assessment," Journal of Macroeconomics, Elsevier, vol. 77(C).

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    More about this item

    Keywords

    Bayesian estimation; DSGE models; expectations formation; forecasting; monetary policy;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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