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Lags in the response of gasoline prices to changes in crude oil

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  • Stanislav Radchenko

    (University of North Carolina at Charlotte)

Abstract

Using weekly data for the period March 1991 to August 2002, we estimate the response of retail gasoline prices to changes in crude oil and spot gasoline prices in the US allowing for a possibility of two types of cost shocks to the gasoline market: long-term and short-term shocks. Our conclusion is that theoretical models should be developed that allow more than one type of input price changes and the different effect of input price changes on output prices. The empirical results support the conjecture of two types of cost shocks. As such, we find that lags in the response of retail gasoline prices to changes in crude oil prices may be due to the fact that approximately 97 % of changes in crude oil prices are viewed as short- term by the market participants. When two types of shocks are considered, there is large difference between the cumulative response function of gasoline prices to long-term and short-term shocks to crude oil prices. As such, this paper adds to our understanding of the price stickiness of gasoline prices.

Suggested Citation

  • Stanislav Radchenko, 2004. "Lags in the response of gasoline prices to changes in crude oil," Econometrics 0406001, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpem:0406001
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    Cited by:

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    3. Paunić, Alida, 2016. "Solar Australia," MPRA Paper 71201, University Library of Munich, Germany.
    4. Stanislav Radchenko, 2004. "Anticipated and unanticipated effects of crude oil prices and oil inventory changes on gasoline prices," Microeconomics 0406001, University Library of Munich, Germany.
    5. Paunić, Alida, 2016. "A Model of Sustainable Growth with Renewables( Wind, CS, Algae) in Africa Europe Relation," MPRA Paper 74515, University Library of Munich, Germany.

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    More about this item

    Keywords

    gasoline prices; cost shocks; Markov-switching model;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • L - Industrial Organization

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