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Predicción

In: Econometría aplicada

Author

Listed:
  • Juan Francisco Castro

    (Departamento de Economía, Universidad del Pacífico)

  • Roddy Rivas-Llosa

    (Departamento de Economía, Universidad del Pacífico)

Abstract
En el primer capítulo se examinan los elementos necesarios para el uso efectivo del paquete estadístico Econometric Views, sobre el cual se ha basado este documento. Luego, se analiza cómo especificar correctamente un modelo econométrico inicial. Finalmente, se discuten los principales problemas que podrían encontrarse en él y las estrategias adecuadas para confrontarlos.

Suggested Citation

  • Juan Francisco Castro & Roddy Rivas-Llosa, 2003. "Predicción," Chapters of Books, in: Juan Francisco Castro & Roddy Rivas-Llosa (ed.), Econometría aplicada, edition 1, volume 1, chapter 7, pages 469-498, Fondo Editorial, Universidad del Pacífico.
    • Handle: RePEc:pai:chptup:03-01-07
    as

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    Citations

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    Cited by:

    1. López-Díaz, Dulce Celeste & Lira-Barragán, Luis Fernando & Rubio-Castro, Eusiel & Ponce-Ortega, José María & El-Halwagi, Mahmoud M., 2017. "Optimal location of biorefineries considering sustainable integration with the environment," Renewable Energy, Elsevier, vol. 100(C), pages 65-77.
    2. Mairech, Hanene & López-Bernal, Álvaro & Moriondo, Marco & Dibari, Camilla & Regni, Luca & Proietti, Primo & Villalobos, Francisco J. & Testi, Luca, 2020. "Is new olive farming sustainable? A spatial comparison of productive and environmental performances between traditional and new olive orchards with the model OliveCan," Agricultural Systems, Elsevier, vol. 181(C).

    More about this item

    Keywords

    predicción econométrica; metodologías;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate

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