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Debt regimes and the effectiveness of monetary policy

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  • De Luigi, Clara
  • Huber, Florian

Abstract

This paper develops a medium-scale non-linear model of the US economy. Our proposed model, a threshold vector autoregression with stochastic volatility, assumes that changes in government debt-to-GDP ratios drive the transition between regimes, capturing low and high debt regimes. The introduction of hierarchical priors enables us to flexibly shrink the empirical model towards the moments implied by a dynamic stochastic general equilibrium model. In the empirical application, we analyze regime-specific monetary policy shocks. Our findings indicate that the effect of monetary policy is less pronounced in ‘high’ debt regimes, pointing towards differences in the underlying monetary policy transmission mechanisms. Forecast error variance decompositions enable us to shed further light on the relative importance of monetary policy shocks within different debt regimes in terms of explaining the variance of forecast errors.

Suggested Citation

  • De Luigi, Clara & Huber, Florian, 2018. "Debt regimes and the effectiveness of monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 218-238.
  • Handle: RePEc:eee:dyncon:v:93:y:2018:i:c:p:218-238
    DOI: 10.1016/j.jedc.2018.01.027
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    Cited by:

    1. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    2. Huber, Florian & Rabithsc, Katrin, 2019. "Exchange rate dynamics and monetary policy: Evidence from a non-linear DSGE-VAR approach," Working Papers in Economics 2019-5, University of Salzburg.
    3. Roudari, Soheil & Salmani, Yunes, 2020. "Macroeconomic Effects of Government Debt to Banks in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(4), pages 403-422, October.
    4. Saurabh Sharma & Ipsita Padhi & Sarat Dhal, 2022. "Monetary-fiscal coordination: when, why and how?," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(4), pages 661-686, September.
    5. Efraim Benmelech & Nitzan Tzur-Ilan, 2020. "The Determinants of Fiscal and Monetary Policies During the Covid-19 Crisis," NBER Working Papers 27461, National Bureau of Economic Research, Inc.
    6. António Afonso & José Alves & Serena Ionta, 2023. "The Effects of Monetary Policy Surprises and Fiscal Sustainability Regimes in the Euro Area," CESifo Working Paper Series 10558, CESifo.
    7. Roben Kloosterman & Dennis Bonam & Koen van der Veer, 2022. "The effects of monetary policy across fiscal regimes," Working Papers 755, DNB.
    8. Florian Huber & Massimiliano Marcellino, 2023. "Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification," Papers 2304.07856, arXiv.org, revised May 2023.

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    More about this item

    Keywords

    Threshold models; DSGE priors; Stochastic volatility; Debt dynamics;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • 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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