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Using the global dimension to identify shocks with sign restrictions

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  • Fidora, Michael
  • Chudik, Alexander

Abstract

Identification of structural VARs using sign restrictions has become increasingly popular in the academic literature. This paper (i) argues that identification of shocks can benefit from introducing a global dimension, and (ii) shows that summarising information by the median of the available impulse responses JEL Classification: C32, E17, F37, F41, F47

Suggested Citation

  • Fidora, Michael & Chudik, Alexander, 2011. "Using the global dimension to identify shocks with sign restrictions," Working Paper Series 1318, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20111318
    Note: 491968
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    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1318.pdf
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    References listed on IDEAS

    as
    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Andrew Mountford & Harald Uhlig, 2009. "What are the effects of fiscal policy shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 960-992.
    3. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    4. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    5. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    6. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
    7. Fabio Canova & Joaquim Pires Pina, 1998. "Monetary policy misspecification in VAR models," Economics Working Papers 420, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 1999.
    8. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180, National Bureau of Economic Research, Inc.
    9. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
    10. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
    11. Paustian Matthias, 2007. "Assessing Sign Restrictions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-33, August.
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    Citations

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    Cited by:

    1. Cipollini, Andrea & Parla, Fabio, 2020. "Housing market shocks in italy: A GVAR approach," Journal of Housing Economics, Elsevier, vol. 50(C).
    2. Lombardi, Marco J. & Galesi, Alessandro, 2009. "External shocks and international inflation linkages: a global VAR analysis," Working Paper Series 1062, European Central Bank.
    3. Cashin, Paul & Mohaddes, Kamiar & Raissi, Maziar & Raissi, Mehdi, 2014. "The differential effects of oil demand and supply shocks on the global economy," Energy Economics, Elsevier, vol. 44(C), pages 113-134.
    4. Allegret, Jean-Pierre & Mignon, Valérie & Sallenave, Audrey, 2015. "Oil price shocks and global imbalances: Lessons from a model with trade and financial interdependencies," Economic Modelling, Elsevier, vol. 49(C), pages 232-247.
    5. Cesa-Bianchi, Ambrogio, 2013. "Housing cycles and macroeconomic fluctuations: A global perspective," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 215-238.
    6. Papadamou, Stephanos & Sidiropoulos, Moïse & Spyromitros, Eleftherios, 2015. "Central bank transparency and the interest rate channel: Evidence from emerging economies," Economic Modelling, Elsevier, vol. 48(C), pages 167-174.
    7. Georgiadis, Georgios, 2015. "Examining asymmetries in the transmission of monetary policy in the euro area: Evidence from a mixed cross-section global VAR model," European Economic Review, Elsevier, vol. 75(C), pages 195-215.
    8. Beatrice D. Simo-Kengne & Rangan Gupta & Goodness C. Aye, 2013. "Macro Shocks And House Prices In South Africa," Working Papers 201302, University of Pretoria, Department of Economics.
    9. Alexander Chudik & Michael Fidora, 2012. "How the global perspective can help us identify structural shocks," Staff Papers, Federal Reserve Bank of Dallas, issue Dec.
    10. Matthew Greenwood‐Nimmo & Viet Hoang Nguyen & Eliza Wu, 2021. "On the International Spillover Effects of Country‐Specific Financial Sector Bailouts and Sovereign Risk Shocks," The Economic Record, The Economic Society of Australia, vol. 97(317), pages 285-309, June.
    11. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.

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    More about this item

    Keywords

    global VAR; identification of shocks; oil shocks; sign restrictions; VAR;
    All these keywords.

    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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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