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DSGE model with financial frictions over subsets of business cycle frequencies

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  • Gallegati, Marco
  • Giri, Federico
  • Palestrini, Antonio

Abstract

We estimate a DSGE model with financial frictions and banks on subsets of frequency bands corresponding to higher and lower business cycle frequencies. Our results show that goodness of fit and parameter estimates associated with real and financial frictions vary substantially across business cycle frequency bands, with the estimated coefficients related to financial adjustment costs and for the parameter governing the costs associated to capital requirements displaying the largest variations. Moreover, the comparison of the marginal likelihoods with a frictionless framework suggests that the introduction of financial frictions provides a significant improvement at lower business cycle frequencies. This is consistent with the presence of macro-financial linkages where credit market frictions affect spending decisions over longer time horizons.

Suggested Citation

  • Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
  • Handle: RePEc:eee:dyncon:v:100:y:2019:i:c:p:152-163
    DOI: 10.1016/j.jedc.2018.10.004
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    Cited by:

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    2. Martins, Manuel Mota Freitas & Verona, Fabio, 2020. "Forecasting inflation with the New Keynesian Phillips curve: Frequency matters," Bank of Finland Research Discussion Papers 4/2020, Bank of Finland.
    3. Caraiani, Petre & Gupta, Rangan, 2020. "Is the response of the bank of England to exchange rate movements frequency-dependent?," Journal of Macroeconomics, Elsevier, vol. 63(C).
    4. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    5. Girstmair, Stefan, 2024. "The effect of new housing supply in structural models: a forecasting performance evaluation," Working Paper Series 2895, European Central Bank.
    6. Yong Ma & Yiqing Jiang, 2023. "Gradual financial integration and macroeconomic fluctuations in emerging market economies: evidence from China," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 275-310, April.
    7. Manuel M. F. Martins & Fabio Verona, 2020. "Forecasting Inflation with the New Keynesian Phillips Curve: Frequency Matters," CEF.UP Working Papers 2001, Universidade do Porto, Faculdade de Economia do Porto.
    8. repec:zbw:bofrdp:2020_004 is not listed on IDEAS

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    More about this item

    Keywords

    DSGE model; Financial frictions; Wavelet decomposition; Business cycle frequencies; Bayesian estimation;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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