| Revista: | Latin american journal of economics |
| Base de datos: | CLASE |
| Número de sistema: | 000399149 |
| ISSN: | 0719-0425 |
| Autores: | Medel, Carlos A1 |
| Instituciones: | 1Banco Central de Chile, Departamento de Investigaciones Económicas, Santiago de Chile. Chile |
| Año: | 2013 |
| Periodo: | May |
| Volumen: | 50 |
| Número: | 1 |
| Paginación: | 133-161 |
| País: | Chile |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado |
| Resumen en inglés | This paper compares out-of-sample performance, using the Chilean GDP dataset, of a large number of autoregressive integrated moving average (ARIMA) models with some variations to identify how to achieve the smallest root mean squared forecast error with models based on information criteria—Akaike, Schwarz, and Hannan-Quinn. The analysis also addresses the role of seasonal adjustment and the Easter ef fect. The results show that Akaike and Schwarz are better criteria for forecasting when using actual series and Schwarz and Hannan-Quinn are better with seasonally adjusted data. Accounting for the Easter ef fect improves forecast accuracy for actual and seasonally adjusted data |
| Disciplinas: | Economía |
| Palabras clave: | Econometría, Condiciones económicas, Datos estadísticos, Predicción, Ajuste estacional, Chile |
| Texto completo: | Texto completo (Ver PDF) |
