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Food Inflation Examination through the Dynamic Nexus between Olive Oil and Substitutes

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  • Nikolaos A. Kyriazis

    (Department of Economics, University of Thessaly, 28th October 78, P.C. 38333 Volos, Greece)

Abstract

This study provides insights into food inflation by investigating the dynamic interconnectedness of the prices of olive oil, soybean oil, sunflower oil, and palm oil. Using data from January 1990 to October 2023, averaged dynamic and extended joint connectedness analyses are conducted by employing the innovative Time-Varying Parameter Vector Autoregressive (TVP-VAR) methodology. The findings reveal that olive oil presents a low connection with substitute oils and generates net spillover effects, especially at the onset of COVID-19 but also at later stages and during the Russia–Ukraine war. Palm oil transmits effects on the system of oils before the Global Financial Crisis (GFC) but renders a net receiver afterward, while sunflower oil follows the opposite way. Systemic connectedness is the highest during the GFC and remains elevated during QE-tapering. It slightly increases during COVID-19 outbursts and illustrates higher spikes when the Russia–Ukraine conflict begins. These linkages are even stronger among only the substitute oils.

Suggested Citation

  • Nikolaos A. Kyriazis, 2024. "Food Inflation Examination through the Dynamic Nexus between Olive Oil and Substitutes," Economies, MDPI, vol. 12(3), pages 1-13, February.
    • Handle: RePEc:gam:jecomi:v:12:y:2024:i:3:p:57-:d:1345763
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    References listed on IDEAS

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    1. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    2. Hassouneh, Islam & Serra, Teresa & Goodwin, Barry K. & Gil, José M., 2012. "Non-parametric and parametric modeling of biodiesel, sunflower oil, and crude oil price relationships," Energy Economics, Elsevier, vol. 34(5), pages 1507-1513.
    3. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2023. "Investigating the inflation-output-nexus for the euro area: Old questions and new results," Wismar Discussion Papers 01/2023, Hochschule Wismar, Wismar Business School.
    4. Carlotta Breman & Servaas Storm, 2023. "Betting on black gold: Oil speculation and U.S. inflation (2020-2022)," Working Papers Series inetwp208, Institute for New Economic Thinking.
    5. Rallatou, Dionysia & Tzouvelekas, Vangelis, 2016. "An Analysis of the Trade Patterns of Olive-Oil in the European Union," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    6. Carlotta Breman & Servaas Storm, 2023. "Betting on Black Gold: Oil Speculation and U.S. Inflation (2020–2022)," International Journal of Political Economy, Taylor & Francis Journals, vol. 52(2), pages 153-180, April.
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