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Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S

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  • Emanuele Bacchiocchi

    () (University of Milano)

  • Efrem Castelnuovo

    () (University of Padova)

  • Luca Fanelli

    () (University of Bologna)

Abstract

We employ a novel identification scheme to quantify the macroeconomic effects of monetary policy shocks in the United States. The identification of the shocks is achieved by exploiting the instabilities in the contemporaneous coefficients of the structural VAR (SVAR) and in the covariance matrix of the reduced-form residuals. Different volatility regimes can be associated with different transmission mechanisms of the identified structural shocks. We formally test and reject the stability of our impulse responses estimated with post-WWII U.S. data by working with a break in macroeconomic volatilities occurred in the mid-1980s. We show that the impulse responses obtained with our non-recursive identification scheme are quite similar to those conditional on a standard Cholesky-SVARs estimated with pre-1984 data. In contrast, recursive vs. non-recursive identification schemes return substantially different macroeconomic reactions conditional on Great Moderation data, in particular as for inflation and a long-term interest rate. Using our non-recursive SVARs as auxiliary models to estimate a small-scale new-Keynesian model of the business cycle with an impulse response function matching approach, we show that the instabilities in the estimated VAR impulse responses are informative as for the calibration of some key-structural parameters.

Suggested Citation

  • Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2014. "Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S," "Marco Fanno" Working Papers 0181, Dipartimento di Scienze Economiche "Marco Fanno".
  • Handle: RePEc:pad:wpaper:0181
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    Cited by:

    1. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2014. "Uncertainty and Monetary Policy in Good and Bad Times," "Marco Fanno" Working Papers 0188, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.

    More about this item

    Keywords

    structural break; recursive and non-recursive VARs; identification; monetary policy shocks; impulse responses.;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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