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Identifying Uncertainty Shocks Using the Price of Gold

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  • Michele Piffer
  • Maximilian Podstawski

Abstract

We propose a new instrument to identify the impact of uncertainty shocks in a SVAR model with external instruments. We construct the instrument for uncertainty shocks by exploiting variations in the price of gold around selected events. The events capture periods of changes in uncertainty unrelated to other macroeconomic shocks. The variations in the price of gold around such events provide a measure correlated with the underlying uncertainty shocks, due to the perception of gold as a safe haven asset. The proposed approach improves upon the recursive identification of uncertainty shocks by not restricting only one structural shock to potentially affect all variables in the system. Replicating Bloom (2009), we find that the recursive approach underestimates the effects of uncertainty shocks and their role in driving monetary policy.

Suggested Citation

  • Michele Piffer & Maximilian Podstawski, 2016. "Identifying Uncertainty Shocks Using the Price of Gold," Discussion Papers of DIW Berlin 1549, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1549
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    Citations

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    Cited by:

    1. Kerssenfischer, Mark, 2017. "The effects of US monetary policy shocks: Applying external instrument identification to a dynamic factor model," Discussion Papers 08/2017, Deutsche Bundesbank.
    2. Bouoiyour, Jamal & Selmi, Refk & Wohar, Mark E., 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Economic Modelling, Elsevier, vol. 75(C), pages 105-116.
    3. Rangan Gupta & Godwin Olasehinde-Williams & Mark E. Wohar, 2018. "The Impact of US Uncertainty Shocks on a Panel of Advanced and Emerging Market Economies: The Role of Exchange Rate, Trade and Financial Channels," Working Papers 201857, University of Pretoria, Department of Economics.
    4. Seohyun Lee & Inhwan So & Jongrim Ha, 2018. "Identifying Uncertainty Shocks due to Geopolitical Swings in Korea," Working Papers 2018-26, Economic Research Institute, Bank of Korea.
    5. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.

    More about this item

    Keywords

    Economic uncertainty; external proxy SVAR; safe haven assets;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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