Forecasting retail fuel prices with spatial interdependencies

Adam Clements; Jesús Otero

doi:10.1016/j.econlet.2024.112128

Forecasting retail fuel prices with spatial interdependencies

Adam Clements
, Jesús Otero

Facultad de Economía

Producción científica: Contribución a revista › Artículo de Investigación › revisión exhaustiva

Resumen

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.

Idioma original	Inglés estadounidense
Número de artículo	112128
Publicación	Economics Letters
Volumen	247
DOI	https://doi.org/10.1016/j.econlet.2024.112128
Estado	Publicada - feb 2025

Áreas temáticas de ASJC Scopus

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Economía y econometría

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10.1016/j.econlet.2024.112128

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title = "Forecasting retail fuel prices with spatial interdependencies",

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.",

author = "Adam Clements and Jes{\'u}s Otero",

note = "Publisher Copyright: {\textcopyright} 2024 Elsevier B.V.",

year = "2025",

month = feb,

doi = "10.1016/j.econlet.2024.112128",

language = "English (US)",

volume = "247",

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AU - Clements, Adam

AU - Otero, Jesús

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AB - 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.

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UR - https://www.scopus.com/pages/publications/85212601314#tab=citedBy

U2 - 10.1016/j.econlet.2024.112128

DO - 10.1016/j.econlet.2024.112128

M3 - Research Article

AN - SCOPUS:85212601314

SN - 0165-1765

VL - 247

JO - Economics Letters

JF - Economics Letters

M1 - 112128

ER -

Forecasting retail fuel prices with spatial interdependencies

Resumen

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