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Time-varying structural vector autoregressions and monetary policy: a corrigendum

Author

Listed:
  • Del Negro, Marco

    (Federal Reserve Bank of New York)

  • Primiceri, Giorgio E.

    (Northwestern University)

Abstract

This note corrects a mistake in the estimation algorithm of the time-varying structural vector autoregression model of Primiceri (2005) and shows how to correctly apply the procedure of Kim, Shephard, and Chib (1998) to the estimation of VAR, DSGE, factor, and unobserved components models with stochastic volatility. Relative to Primiceri (2005), the main difference in the new algorithm is the ordering of the various Markov Chain Monte Carlo steps, with each individual step remaining the same.

Suggested Citation

  • Del Negro, Marco & Primiceri, Giorgio E., 2013. "Time-varying structural vector autoregressions and monetary policy: a corrigendum," Staff Reports 619, Federal Reserve Bank of New York, revised 01 Oct 2014.
  • Handle: RePEc:fip:fednsr:619
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    References listed on IDEAS

    as
    1. Vasco Cúrdia & Marco Negro & Daniel L. Greenwald, 2014. "Rare Shocks, Great Recessions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1031-1052, November.
    2. Canova, Fabio & Gambetti, Luca, 2009. "Structural changes in the US economy: Is there a role for monetary policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 477-490, February.
    3. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 2002. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 69-87, January.
    4. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994. "Bayesian Analysis of Stochastic Volatility Models: Comments: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 413-417, October.
    5. repec:bla:restud:v:65:y:1998:i:3:p:361-93 is not listed on IDEAS
    6. Antonello D'Agostino & Luca Gambetti & Domenico Giannone, 2013. "Macroeconomic forecasting and structural change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 82-101, January.
    7. Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
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    Cited by:

    1. Hilde C. Bjørnland & Leif Anders Thorsrud & Ragnar Torvik, 2018. "Dutch disease dynamics reconsidered," Working Paper 2018/1, Norges Bank.
    2. Steffen Henzel & Wolfgang Nierhaus & Tim Oliver Berg & Christian Breuer & Kai Carstensen & Christian Grimme & Oliver Hülsewig & Atanas Hristov & Nikolay Hristov & Michael Kleemann & Wolfgang Meister &, 2013. "ifo Konjunkturprognose 2013/2014: Deutsche Konjunkturlokomotive kommt unter Dampf," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(24), pages 20-67, December.
    3. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Common Drifting Volatility in Large Bayesian VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 375-390, July.
    4. repec:taf:jnlbes:v:35:y:2017:i:1:p:17-28 is not listed on IDEAS
    5. Liu, Yuelin & Morley, James, 2014. "Structural evolution of the postwar U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 50-68.
    6. Clark, Todd E. & Carriero, Andrea & Marcellino, Massimiliano, 2016. "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Paper 1617, Federal Reserve Bank of Cleveland.
    7. Vespignani, Joaquin & Kang, Wensheng & Ratti, Ronald, 2018. "Global Commodity Prices and Global Stock Volatility Shocks," MPRA Paper 84250, University Library of Munich, Germany.
    8. filippo gori, 2014. "Banking Integration and Fragmentation in the Interest Rate Channel," IHEID Working Papers 05-2015, Economics Section, The Graduate Institute of International Studies, revised 18 Sep 2014.
    9. Clark, Todd E. & McCracken, Michael W. & Mertens, Elmar, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Paper 1715, Federal Reserve Bank of Cleveland.
    10. Cléaud, G. & Lemoine, M. & Pionnier, P.-A., 2013. "Which size and evolution of the government expenditure multiplier in France (1980-2010)?," Working papers 469, Banque de France.
    11. Joshua C. C. Chan, 2017. "The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 17-28, January.
    12. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    13. Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," Journal of Econometrics, Elsevier, vol. 201(2), pages 322-332.
    14. Zakaria Moussa, 2016. "How big is the comeback? Japanese exchange rate pass-through assessed by Time-Varying FAVAR," Working Papers hal-01282811, HAL.
    15. Raputsoane, Leroi, 2018. "Monetary policy reaction function pre and post the global financial crisis," MPRA Paper 84866, University Library of Munich, Germany.
    16. Lubik, Thomas A. & Matthes, Christian, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.
    17. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    18. Guglielmo Maria Caporale & Luis A. Gil-Alana & Tommaso Trani, 2018. "On the Persistence of UK Inflation: A Long-Range Dependence Approach," CESifo Working Paper Series 6968, CESifo Group Munich.
    19. Vorada Limjaroenrat, 2017. "Distributional Effects of Monetary Policy on Housing Bubbles: Some Evidence," PIER Discussion Papers 74, Puey Ungphakorn Institute for Economic Research, revised Oct 2017.

    More about this item

    Keywords

    Bayesian methods; time-varying volatility;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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