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Asymmetric price transmission in the US and German fuel markets: a quantile autoregression approach

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  • Karsten Schweikert

    (University of Hohenheim)

Abstract

This paper proposes a new econometric model for asymmetric price transmissions. We estimate long-run equilibrium equations between upstream and downstream prices and use quantile autoregression to estimate a quantile-dependent adjustment behaviour for lower and upper quantiles of the residual process. We develop a bootstrap cointegration test which is suitable for cointegration relationships that exhibit quantile-dependent adjustment. Furthermore, we introduce the appropriate statistical tests for across-quantile comparisons and overall quantile effects. The methodology is applied to the US and German gasoline and diesel markets. Our empirical results suggest that asymmetries can be found in the early stages of the production chain, but are not completely transferred to retail prices.

Suggested Citation

  • Karsten Schweikert, 2019. "Asymmetric price transmission in the US and German fuel markets: a quantile autoregression approach," Empirical Economics, Springer, vol. 56(3), pages 1071-1095, March.
    • Handle: RePEc:spr:empeco:v:56:y:2019:i:3:d:10.1007_s00181-017-1376-5
    DOI: 10.1007/s00181-017-1376-5
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    1. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    2. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    3. Giliola Frey & Matteo Manera, 2007. "Econometric Models Of Asymmetric Price Transmission," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 349-415, April.
    4. Fabio Busetti & Andrew Harvey, 2001. "Testing for the Presence of a Random Walk in Series with Structural Breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 22(2), pages 127-150, March.
    5. Fosten, Jack, 2012. "Rising household diesel consumption in the United States: A cause for concern? Evidence on asymmetric pricing," Energy Economics, Elsevier, vol. 34(5), pages 1514-1522.
    6. Victor Chernozhukov & Iv·n Fern·ndez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves Without Crossing," Econometrica, Econometric Society, vol. 78(3), pages 1093-1125, May.
    7. Giacomini, Raffaella & Politis, Dimitris N. & White, Halbert, 2013. "A Warp-Speed Method For Conducting Monte Carlo Experiments Involving Bootstrap Estimators," Econometric Theory, Cambridge University Press, vol. 29(3), pages 567-589, June.
    8. Jochen Meyer & Stephan von Cramon‐Taubadel, 2004. "Asymmetric Price Transmission: A Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 581-611, November.
    9. Greenwood-Nimmo, Matthew & Shin, Yongcheol, 2013. "Taxation and the asymmetric adjustment of selected retail energy prices in the UK," Economics Letters, Elsevier, vol. 121(3), pages 411-416.
    10. Al-Gudhea, Salim & Kenc, Turalay & Dibooglu, Sel, 2007. "Do retail gasoline prices rise more readily than they fall?: A threshold cointegration approach," Journal of Economics and Business, Elsevier, vol. 59(6), pages 560-574.
    11. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    12. repec:hal:wpspec:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    13. Line Elvstrøm Ekner & Emil Nejstgaard, 2013. "Parameter Identification in the Logistic STAR Model," Discussion Papers 13-07, University of Copenhagen. Department of Economics.
    14. Grasso, Margherita & Manera, Matteo, 2007. "Asymmetric error correction models for the oil-gasoline price relationship," Energy Policy, Elsevier, vol. 35(1), pages 156-177, January.
    15. repec:hal:spmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    16. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    17. James G. MacKinnon, 2010. "Critical Values For Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    18. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    19. Douglas, Christopher C., 2010. "Do gasoline prices exhibit asymmetry? Not usually!," Energy Economics, Elsevier, vol. 32(4), pages 918-925, July.
    20. Bera Anil K. & Galvao Antonio F. & Wang Liang, 2014. "On Testing the Equality of Mean and Quantile Effects," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 47-62, January.
    21. Christopher Douglas & Ana María Herrera, 2010. "Why are gasoline prices sticky? A test of alternative models of price adjustment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 903-928.
    22. Chang, Yoosoon & Park, Joon Y. & Song, Kevin, 2006. "Bootstrapping cointegrating regressions," Journal of Econometrics, Elsevier, vol. 133(2), pages 703-739, August.
    23. Roger Koenker & Zhijie Xiao, 2004. "Unit Root Quantile Autoregression Inference," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 775-787, January.
    24. Bacon, Robert W., 1991. "Rockets and feathers: the asymmetric speed of adjustment of UK retail gasoline prices to cost changes," Energy Economics, Elsevier, vol. 13(3), pages 211-218, July.
    25. Li, Hongyi & Maddala, G. S., 1997. "Bootstrapping cointegrating regressions," Journal of Econometrics, Elsevier, vol. 80(2), pages 297-318, October.
    26. Meyler, Aidan, 2009. "The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices," Energy Economics, Elsevier, vol. 31(6), pages 867-881, November.
    27. Kaufmann, Robert K. & Laskowski, Cheryl, 2005. "Causes for an asymmetric relation between the price of crude oil and refined petroleum products," Energy Policy, Elsevier, vol. 33(12), pages 1587-1596, August.
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    More about this item

    Keywords

    Asymmetric price transmission; Cointegration; Quantile autoregression; Gasoline; Diesel; Crude oil;
    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
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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