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Diesel and soybean price relationship in the USA: evidence from a quantile autoregressive distributed lag model

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  • Debdatta Pal

    (Indian Institute of Management)

  • Subrata K. Mitra

    (Indian Institute of Management)

Abstract

We use the quantile autoregressive distributed lag model of Galvao et al. (Oxf Bull Econ Stat 75:307–321, 2013) to explore the possible relationship between prices of diesel and soybean. Monthly US diesel and soybean prices spanning from January 2004 to June 2014 are used in this analysis. Strong links between diesel and soybean prices are identified over the long run. Results indicate that soybean price movement is tail-dependent and varies over quantiles. In the upper quantiles, soybean prices respond strongly to diesel price fluctuations as compared to that in the lower quantiles.

Suggested Citation

  • Debdatta Pal & Subrata K. Mitra, 2017. "Diesel and soybean price relationship in the USA: evidence from a quantile autoregressive distributed lag model," Empirical Economics, Springer, vol. 52(4), pages 1609-1626, June.
    • Handle: RePEc:spr:empeco:v:52:y:2017:i:4:d:10.1007_s00181-016-1114-4
    DOI: 10.1007/s00181-016-1114-4
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    2. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    3. Liya Hau & Huiming Zhu & Muhammad Shahbaz & Ke Huang, 2023. "Quantile Dependence between Crude Oil and China’s Biofuel Feedstock Commodity Market," Sustainability, MDPI, vol. 15(11), pages 1-17, June.
    4. Sergio Adriani David & Claudio M. C. Inácio & José A. Tenreiro Machado, 2019. "Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship," Mathematics, MDPI, vol. 7(9), pages 1-25, August.
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    6. Martin-Valmayor, Miguel A. & Gil-Alana, Luis A. & Martín, Asís Pardo, 2023. "US biofuel market persistence and mean reversion properties," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 648-660.
    7. Dervis Kirikkaleli & Ibrahim Darbaz, 2022. "New insights into an old issue: modelling the U.S. food prices," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 675-689, December.
    8. Haydar Demirhan, 2020. "dLagM: An R package for distributed lag models and ARDL bounds testing," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-23, February.
    9. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    10. Ida Farida & Faurani Santi Singagerda, 2021. "Volatilitiy of World Food Commodity Prices and Renewable Fuel Standard Policy," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 516-527.
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    More about this item

    Keywords

    Diesel; Soybean; Biofuels; Quantile autoregressive distributed lag model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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