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The financial accelerator mechanism: does frequency matter?

Author

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  • Claudia Foroni
  • Paolo Gelain
  • Massimiliano Marcellino

Abstract

We use mixed-frequency (quarterly-monthly) data to estimate a dynamic stochastic general equilibrium model embedded with the financial accelerator mechanism à la Bernanke et al. (1999). We find that the financial accelerator can work very differently at monthly frequency compared to quarterly frequency; that is, we document its inversion. That is because aggregating monthly data into quarterly data leads to large biases in the estimated quarterly parameters and, as a consequence, to a deep change in the transmission of shocks.

Suggested Citation

  • Claudia Foroni & Paolo Gelain & Massimiliano Marcellino, 2022. "The financial accelerator mechanism: does frequency matter?," Working Papers 22-29, Federal Reserve Bank of Cleveland.
    • Handle: RePEc:fip:fedcwq:94980
    DOI: 10.26509/frbc-wp-202229
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    Cited by:

    1. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
    2. Guido Ascari & Qazi Haque & Leandro M. Magnusson & Sophocles Mavroeidis, 2021. "Empirical evidence on the Euler equation for investment in the US," Papers 2107.08713, arXiv.org, revised Aug 2022.

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    More about this item

    Keywords

    DSGE models; financial accelerator; mixed-frequency data;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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