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Nonlinear and asymmetric pricing behaviour in the Spanish gasoline market

Author

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  • Escribano Alvaro
  • Torrado María

    (Universidad Carlos III de Madrid, Department of Economics, Getafe, Madrid, Spain)

Abstract

Over the last decades a transition from a state-own monopoly to a private business took place in the Spanish fuel sector. To figure out whether downstream prices react differently to upstream price increases than to price decreases, alternative dynamic nonlinear and asymmetric error correction models are applied to weekly price data. This paper analyse the existence of price asymmetries in the fuel market in Spain during the 2011–2016 period. In comparison with traditional asymmetric price theory literature, this paper introduces a new double threshold error correction (ECM) model (DT-ECM) and new double logistic ECM models and compares them with more common linear ECM, time varying parameter models (TV-ECM), threshold autoregressive models (T-ECM), smooth transition autoregressive (STAR) models and nonlinear error correction (Logistic-ECM) and double threshold Logistic (DT-Logistic ECM). The asymmetric results found in Spain in the oil sector, show that sophisticated bivariate short-run nonlinearities are present in the gasoline market prices and that those price reactions depend on two main aspects; whether the oil price increases or decreases and on the stage (above of below) of the prices of gasoline relative to their long-run expected crude oil prices (error correction term). Those empirical results are consistent with the economic explanations based on market power-collusion and/or with consumer having search costs.

Suggested Citation

  • Escribano Alvaro & Torrado María, 2018. "Nonlinear and asymmetric pricing behaviour in the Spanish gasoline market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-19, December.
  • Handle: RePEc:bpj:sndecm:v:22:y:2018:i:5:p:19:n:1
    DOI: 10.1515/snde-2017-0065
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    Cited by:

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    3. Hsiang-Hsi Liu & Pi-Hsia Hung & Po-Hung Luo Cho, 2021. "Nonlinear Interactions and Volatility Spillovers between Stock and Foreign Exchange Markets: The STVEC-STGARCH-DCC Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(4), pages 1-3.
    4. Escribano, Álvaro & Wang, Dandan, 2021. "Mixed random forest, cointegration, and forecasting gasoline prices," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1442-1462.

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    More about this item

    Keywords

    double-threshold-ECM models; gasoline price asymmetries; logistic-STAR models; nonlinear error correction models; rockets and feathers; threshold-ECM models;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels

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