Skip to main navigation Skip to search Skip to main content

Forecasting retail fuel prices with spatial interdependencies

    Research output: Contribution to Journal › Research Article › peer-review

    Abstract

    This paper forecasts station-level retail fuel prices using econometric methods, incorporating spatial interdependencies. Error correction models with cross-sectional dependence outperform autoregressive models with wholesale prices or spatial effects, demonstrating the benefits of spatial interdependencies in terms of improved forecasting performance.

    Original languageEnglish (US)
    Article number112128
    JournalEconomics Letters
    Volume247
    DOIs
    StatePublished - Feb 2025

    All Science Journal Classification (ASJC) codes

    • Finance
    • Economics and Econometrics

    Fingerprint

    Dive into the research topics of 'Forecasting retail fuel prices with spatial interdependencies'. Together they form a unique fingerprint.

    Cite this