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Estimating the Macroeconomic Effects of Oil Supply News

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  • Lorenzo Mori
  • Gert Peersman

Abstract

A common approach for estimating the macroeconomic effects of oil supply news employs SVAR-IV models identified using changes in oil futures prices around OPEC quota announcements as an instrument. However, we show that the reduced-form oil price innovations, structural shocks, and the instrumental variable in these estimations are all Granger-caused by financial variables, indicating informational deficiencies in the VAR model and contamination of the instrument. To resolve these issues, we incorporate financial indicators into the econometrician’s information set, yielding significantly different results. These include a sharper short-term output decline, lower and less persistent inflationary effects, and a reversal of the monetary policy response. Our results also show greater stability over time and the disappearance of puzzling responses. Finally, we identify similar issues in other prominent oil-market SVAR models, suggesting that informational deficiencies are a pervasive issue in oil-market research.

Suggested Citation

  • Lorenzo Mori & Gert Peersman, 2024. "Estimating the Macroeconomic Effects of Oil Supply News," CESifo Working Paper Series 11532, CESifo.
    • Handle: RePEc:ces:ceswps:_11532
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    References listed on IDEAS

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    1. Martin Bruns & Helmut Luetkepohl, 2023. "Have the Effects of Shocks to Oil Price Expectations Changed? Evidence from Heteroskedastic Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2023-03, School of Economics, University of East Anglia, Norwich, UK..
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    Cited by:

    1. Gert Peersman, 2025. "Understanding Post-Pandemic Inflation Fluctuations: The Commodity Cost Channel," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 25/1123, Ghent University, Faculty of Economics and Business Administration.
    2. Qureshi, Irfan A. & Ahmad, Ghufran, 2025. "Oil price shocks and US business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 177(C).

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    Keywords

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    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
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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