¿Akaike o Schwarz? ¿Cuál elegir para Predecir el PIB Chileno?

Carlos A. Medel ()

Working Papers Central Bank of Chile from Central Bank of Chile

Abstract: Schwarz. In this paper I evaluate the predictive ability of the Akaike and Schwarz information criteria using autoregressive integrated moving average models, with sectoral data of Chilean GDP. In terms of root mean square error, and after the estimation of more than a million models, the results indicate that —on average— the models based on the Schwarz criterion perform better than those selected with the Akaike, for the four horizons analyzed. Furthermore, the statistical significance of these differences indicates that the superiority in favor of the Schwarz criterion holds mainly at higher horizons.

Date: 2012-01
New Economics Papers: this item is included in nep-for
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.bcentral.cl/documents/33528/133326/DTBC_658.pdf (application/pdf)

Related works:
Working Paper: ¿Akaike o Schwarz? ¿Cuál elegir para predecir el PIB chileno? (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:chb:bcchwp:658

Access Statistics for this paper

More papers in Working Papers Central Bank of Chile from Central Bank of Chile Contact information at EDIRC.
Bibliographic data for series maintained by Alvaro Castillo ().