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Modelling the terminal gate prices of unleaded petrol in Australia

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  • Valadkhani, Abbas

Abstract

This paper examines whether or not unleaded petrol prices (at Australia's 18 wholesale distribution terminals) respond asymmetrically to changes in the exchange rate and the Singapore petrol prices (known as MOPS95). It is found that the exchange rate is the most significant source of asymmetric behaviour in 10 terminals. In other words, following a depreciation of $A, prices significantly rise more than when the exchange rate appreciates. The results indicate that terminal gate prices do not respond asymmetrically to changes in MOPS95 with the only 3 exceptions being Cairns, Devonport and Perth. There are also 8 terminals in which prices are significantly stickier downwards than upwards, suggesting that price increases are passed onto retailers faster than price decreases.

Suggested Citation

  • Valadkhani, Abbas, 2013. "Modelling the terminal gate prices of unleaded petrol in Australia," Economic Modelling, Elsevier, vol. 33(C), pages 233-243.
    • Handle: RePEc:eee:ecmode:v:33:y:2013:i:c:p:233-243
    DOI: 10.1016/j.econmod.2013.04.012
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    Cited by:

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    2. Valadkhani, Abbas & Smyth, Russell, 2018. "Asymmetric responses in the timing, and magnitude, of changes in Australian monthly petrol prices to daily oil price changes," Energy Economics, Elsevier, vol. 69(C), pages 89-100.
    3. Prakash, Kushneel & Awaworyi Churchill, Sefa & Smyth, Russell, 2020. "Petrol prices and subjective wellbeing," Energy Economics, Elsevier, vol. 90(C).
    4. Balaguer, Jacint & Ripollés, Jordi, 2016. "Asymmetric fuel price responses under heterogeneity," Energy Economics, Elsevier, vol. 54(C), pages 281-290.
    5. Hamid Baghestani & Jorg Bley, 2020. "Do directional predictions of US gasoline prices reveal asymmetries?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(2), pages 348-360, April.
    6. Cook, Steven & Fosten, Jack, 2019. "Replicating rockets and feathers," Energy Economics, Elsevier, vol. 82(C), pages 139-151.
    7. Oczkowski, Edward & Wong, Alfred & Sharma, Kishor, 2018. "The impact of major fuel retailers on regional New South Wales petrol prices," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 44-59.
    8. Valadkhani, Abbas & Babacan, Alperhan, 2014. "Modelling how much extra motorists pay on the road? A cross-sectional study of profit margins of unleaded petrol in Australia," Energy Policy, Elsevier, vol. 69(C), pages 179-188.
    9. Valadkhani, Abbas & Smyth, Russell & Vahid, Farshid, 2015. "Asymmetric pricing of diesel at its source," Energy Economics, Elsevier, vol. 52(PA), pages 183-194.

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    More about this item

    Keywords

    Wholesale; Petrol prices; Australia; Asymmetric adjustment;
    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
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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