IDEAS home Printed from https://ideas.repec.org/p/zbw/rwirep/357.html
   My bibliography  Save this paper

Long-run Trends or Short-run Fluctuations – What Establishes the Correlation between Oil and Food Prices?The Interplay of Standardized Tests and Incentives – An Econometric Analysis with Data from PISA 2000 and PISA 2009

Author

Listed:
  • Krätschell, Karoline
  • Schmidt, Torsten

Abstract

In this paper we use the frequency domain Granger causality test of Breitung/Candelon (2006) to analyse short- and long-run causality between energy prices and prices of food commodities. We find that the oil price Granger causes all the considered food prices. However, when controlling for business cycle fluctuations this link exists especially at low frequencies. Thus, short-run phenomena like herd behaviour and speculation do not seem to have a considerable effect on the studied food prices. The relation between oil and food prices is rather established by long-term developments. A possible explanation for this could be the production of biofuel.

Suggested Citation

  • Krätschell, Karoline & Schmidt, Torsten, 2012. "Long-run Trends or Short-run Fluctuations – What Establishes the Correlation between Oil and Food Prices?The Interplay of Standardized Tests and Incentives – An Econometric Analysis with Data from PIS," Ruhr Economic Papers 357, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:357
    DOI: 10.4419/86788411
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/61432/1/722263384.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4419/86788411?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Saghaian, Sayed H., 2010. "The Impact of the Oil Sector on Commodity Prices: Correlation or Causation?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 42(3), pages 477-485, August.
    2. Paul Cashin & C. John McCDermott, 2002. "The Long-Run Behavior of Commodity Prices: Small Trends and Big Variability," IMF Staff Papers, Palgrave Macmillan, vol. 49(2), pages 1-2.
    3. Marc Gronwald, 2009. "Reconsidering the macroeconomics of the oil price in Germany: testing for causality in the frequency domain," Empirical Economics, Springer, vol. 36(2), pages 441-453, May.
    4. Dufour, Jean-Marie & Pelletier, Denis & Renault, Eric, 2006. "Short run and long run causality in time series: inference," Journal of Econometrics, Elsevier, vol. 132(2), pages 337-362, June.
    5. Derek Headey & Shenggen Fan, 2008. "Anatomy of a crisis: the causes and consequences of surging food prices," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 375-391, November.
    6. Vansteenkiste, Isabel, 2009. "How important are common factors in driving non-fuel commodity prices? A dynamic factor analysis," Working Paper Series 1072, European Central Bank.
    7. Silvennoinen, Annastiina & Thorp, Susan, 2013. "Financialization, crisis and commodity correlation dynamics," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 42-65.
    8. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    9. Zhang, Zibin & Lohr, Luanne & Escalante, Cesar & Wetzstein, Michael, 2010. "Food versus fuel: What do prices tell us?," Energy Policy, Elsevier, vol. 38(1), pages 445-451, January.
    10. Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431.
    11. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    12. Lescaroux, François, 2009. "On the excess co-movement of commodity prices--A note about the role of fundamental factors in short-run dynamics," Energy Policy, Elsevier, vol. 37(10), pages 3906-3913, October.
    13. Harri, Ardian & Nalley, Lanier & Hudson, Darren, 2009. "The Relationship between Oil, Exchange Rates, and Commodity Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 501-510, August.
    14. Jean-Marie Dufour & David Tessier, 2006. "Short-Run and Long-Run Causality between Monetary Policy Variables and Stock Prices," Staff Working Papers 06-39, Bank of Canada.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stolbov, Mikhail & Shchepeleva, Maria, 2020. "Systemic risk, economic policy uncertainty and firm bankruptcies: Evidence from multivariate causal inference," Research in International Business and Finance, Elsevier, vol. 52(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:zbw:rwirep:0357 is not listed on IDEAS
    2. Karoline Krätschel & Torsten Schmidt, 2012. "Long-run Trends or Short-run Fluctuations – What Establishes the Correlation between Oil and Food Prices?The Interplay of Standardized Tests and Incentives – An Econometric Analysis with Data from PIS," Ruhr Economic Papers 0357, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Krätschell, Karoline & Schmidt, Torsten, 2013. "Long-run trends or short-run fluctuations What establishes the correlation between oil and food prices?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79798, Verein für Socialpolitik / German Economic Association.
    4. Karoline Krätschell & Torsten Schmidt, 2017. "Long-run waves or short-run fluctuations – what establishes the correlation between oil and food prices?," Applied Economics, Taylor & Francis Journals, vol. 49(54), pages 5535-5546, November.
    5. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.
    6. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    7. Claudiu Tiberiu Albulescu & Cornel Oros & Aviral Kumar Tiwari, 2017. "Oil price–inflation pass-through in Romania during the inflation targeting regime," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1527-1542, March.
    8. Aviral Kumar Tiwari, 2012. "Tax Burden and GDP: Evidence from Frequency Doman Approach for the USA," Economics Bulletin, AccessEcon, vol. 32(1), pages 147-159.
    9. Guellil, Mohammed Seghir & Benbouziane, Mohamed, 2018. "Volatility Linkages between Agricultural Commodity Prices, Oil Prices and Real USD Exchange Rate || Vínculos de volatilidad entre precios de productos agrícolas, precios del petróleo y tipo de cambio ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 26(1), pages 71-83, Diciembre.
    10. repec:ipg:wpaper:2014-441 is not listed on IDEAS
    11. Shahzad, Farrukh & Bouri, Elie & Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Energy, agriculture, and precious metals: Evidence from time-varying Granger causal relationships for both return and volatility," Resources Policy, Elsevier, vol. 74(C).
    12. Ritabrata Bose & Ashima Goyal, 2020. "Disaggregated Indian industrial cycles: A Spectral analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-033, Indira Gandhi Institute of Development Research, Mumbai, India.
    13. James Wilkinson & Atanu Ghoshray, 2013. "A Cointegration Analysis of Oil and Agricultural Prices," Review of Market Integration, India Development Foundation, vol. 5(3), pages 249-270, December.
    14. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    15. Croux, Christophe & Reusens, Peter, 2013. "Do stock prices contain predictive power for the future economic activity? A Granger causality analysis in the frequency domain," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 93-103.
    16. Aynur Pala, 2013. "Structural Breaks, Cointegration, and Causality by VECM Analysis of Crude Oil and Food Price," International Journal of Energy Economics and Policy, Econjournals, vol. 3(3), pages 238-246.
    17. Nemati, Mehdi, 2017. "Relationship among Energy, Bioenergy and Agricultural Commodity Prices: Re-Considering Structural Changes," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(3), July.
    18. Breitung, Jörg & Schreiber, Sven, 2018. "Assessing causality and delay within a frequency band," Econometrics and Statistics, Elsevier, vol. 6(C), pages 57-73.
    19. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    20. da Silveira, Rodrigo Lanna F. & Mattos, Fabio L., 2015. "Price And Volatility Transmission In Livestock And Grain Markets: Examining The Effect Of Increasing Ethanol Production Across Countries," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205684, Agricultural and Applied Economics Association.
    21. Riza Radmehr & Shida Rastegari Henneberry, 2020. "Energy Price Policies and Food Prices: Empirical Evidence from Iran," Energies, MDPI, vol. 13(15), pages 1-15, August.
    22. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.

    More about this item

    Keywords

    Granger causality; spectral analysis; commodity prices;
    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
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:rwirep:357. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/rwiesde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.