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Macroeconomic shocks in an oil market var

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  • Melolinna, Marko

Abstract

This paper studies oil market and other macroeconomic shocks in a structural vector autoregression with sign restrictions. It introduces a new indicator for oil demand, and uniquely, performs a sign restriction set-up with a penalty function approach in an oil market vector autoregression. The model also allows for macroeconomic shocks in the US. The results underline the importance of the source of an oil shock for its macroeconomic consequences. Oil supply shocks have been less relevant in driving real oil prices, and had less of an effect on US inflation than demand shocks. Overall, the effects of oil shocks on US real activity have been relatively limited, as also highlighted by a counterfactual experiment of recent oil market developments. JEL Classification: C01, C32, E32

Suggested Citation

  • Melolinna, Marko, 2012. "Macroeconomic shocks in an oil market var," Working Paper Series 1432, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20121432
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    References listed on IDEAS

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    Citations

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    Cited by:

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    3. van de Ven, Dirk Jan & Fouquet, Roger, 2017. "Historical energy price shocks and their changing effects on the economy," Energy Economics, Elsevier, vol. 62(C), pages 204-216.
    4. Lomonosov, Daniil & Polbin, Andrey & Fokin, Nikita, 2020. "Влияние Шоков Мировой Деловой Активности, Предложения Нефти И Спекулятивных Нефтяных Шоков На Экономику Рф [The impact of global economic activity, oil supply and speculative oil shocks on the Russ," MPRA Paper 106019, University Library of Munich, Germany.
    5. Isidro Frías-Pinedo & Rosario Díaz-Vázquez & Ana Iglesias-Casal, 2017. "Oil prices and economic downturns: the case of Spain," Applied Economics, Taylor & Francis Journals, vol. 49(16), pages 1637-1654, April.
    6. Alvarez, Jorge & Valencia, Fabian, 2016. "Made in Mexico: Energy reform and manufacturing growth," Energy Economics, Elsevier, vol. 55(C), pages 253-265.
    7. Chen, Jinyu & Zhu, Xuehong & Li, Hailing, 2020. "The pass-through effects of oil price shocks on China's inflation: A time-varying analysis," Energy Economics, Elsevier, vol. 86(C).
    8. Daniil Lomonosov & Andrey Polbin & Nikita Fokin, 2021. "The Impact of Global Economic Activity, Oil Supply and Speculative Oil Shocks on the Russian Economy," HSE Economic Journal, National Research University Higher School of Economics, vol. 25(2), pages 227-262.
    9. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2013. "Dissecting Corn Price Movements with Directed Acyclic Graphs," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151279, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    Bayesian econometrics; business cycle; oil demand shocks; oil supply shocks;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • 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

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