IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v33y2013icp233-243.html
   My bibliography  Save this article

Modelling the terminal gate prices of unleaded petrol in Australia

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999313001430
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhongmin Wang, 2008. "Collusive Communication and Pricing Coordination in a Retail Gasoline Market," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 32(1), pages 35-52, February.
    2. Robert V. Breunig & Carol Gisz, 2009. "An Exploration of Australian Petrol Demand: Unobservable Habits, Irreversibility and Some Updated Estimates," The Economic Record, The Economic Society of Australia, vol. 85(268), pages 73-91, March.
    3. Reilly, Barry & Witt, Robert, 1998. "Petrol price asymmetries revisited," Energy Economics, Elsevier, vol. 20(3), pages 297-308, June.
    4. Sam Peltzman, 2000. "Prices Rise Faster than They Fall," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 466-502, June.
    5. Maskin, Eric & Tirole, Jean, 1988. "A Theory of Dynamic Oligopoly, II: Price Competition, Kinked Demand Curves, and Edgeworth Cycles," Econometrica, Econometric Society, vol. 56(3), pages 571-599, May.
    6. 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.
    7. Valadkhani, Abbas, 2010. "Modelling the Price of Unleaded Petrol in Australia’s Capital Cities," MPRA Paper 50396, University Library of Munich, Germany.
    8. Radchenko, Stanislav, 2005. "Oil price volatility and the asymmetric response of gasoline prices to oil price increases and decreases," Energy Economics, Elsevier, vol. 27(5), pages 708-730, September.
    9. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    10. Alistair Davey, 2010. "Deregulation of wholesale petrol prices: what happened to capital city petrol prices?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 81-98, January.
    11. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    12. Ronald Johnson, 2002. "Search Costs, Lags and Prices at the Pump," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(1), pages 33-50, February.
    13. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    14. 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.
    15. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    16. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 305-339.
    17. Liu, Ming-Hua & Margaritis, Dimitris & Tourani-Rad, Alireza, 2010. "Is there an asymmetry in the response of diesel and petrol prices to crude oil price changes? Evidence from New Zealand," Energy Economics, Elsevier, vol. 32(4), pages 926-932, July.
    18. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    19. Abbas Valadkhani & William F. Mitchell, 2002. "Assessing the Impact of Changes in Petroleum Prices on Inflation and Household Expenditures in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 35(2), pages 122-132.
    20. Mariano Tappata, 2009. "Rockets and feathers: Understanding asymmetric pricing," RAND Journal of Economics, RAND Corporation, vol. 40(4), pages 673-687.
    21. Lance J. Bachmeier & James M. Griffin, 2003. "New Evidence on Asymmetric Gasoline Price Responses," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 772-776, August.
    22. Granger, C W J & Lee, T H, 1989. "Investigation of Production, Sales and Inventory Relationships Using Multicointegration and Non-symmetric Error Correction Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 145-159, Supplemen.
    23. Angelopoulou, Eleni & Gibson, Heather D., 2010. "The determinants of retail petrol prices in Greece," Economic Modelling, Elsevier, vol. 27(6), pages 1537-1542, November.
    24. Zhongmin Wang, 2009. "(Mixed) Strategy in Oligopoly Pricing: Evidence from Gasoline Price Cycles Before and Under a Timing Regulation," Journal of Political Economy, University of Chicago Press, vol. 117(6), pages 987-1030, December.
    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. 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.
    2. Balaguer, Jacint & Ripollés, Jordi, 2016. "Asymmetric fuel price responses under heterogeneity," Energy Economics, Elsevier, vol. 54(C), pages 281-290.
    3. Valadkhani, Abbas & Smyth, Russell & Vahid, Farshid, 2015. "Asymmetric pricing of diesel at its source," Energy Economics, Elsevier, vol. 52(PA), pages 183-194.
    4. repec:eee:eneeco:v:69:y:2018:i:c:p:89-100 is not listed on IDEAS
    5. repec:eee:ecanpo:v:57:y:2018:i:c:p:44-59 is not listed on IDEAS

    More about this item

    Keywords

    Wholesale; Petrol prices; Australia; Asymmetric adjustment;

    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

    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:eee:ecmode:v:33:y:2013:i:c:p:233-243. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.