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 |
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Número de artículo | 112128 |
Publicación | Economics Letters |
Volumen | 247 |
DOI | |
Estado | Publicada - feb. 2025 |
Áreas temáticas de ASJC Scopus
- Finanzas
- Economía y econometría