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 | |
| Estado | Publicada - feb. 2025 |
Áreas temáticas de ASJC Scopus
- Finanzas
- Economía y econometría