Combining forecasts to enhance fish production prediction: the Case of Coastal Fish Production in Morocco

David Bouras
Additional contact information
David Bouras: Lincoln University, Missouri, EEUU.

Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), 2015, vol. 1, -

Abstract: This paper seeks to enhance forecast accuracy by combining three individual forecasting models. These models include: the Autoregressive Integrated Moving Average model (ARIMA), the Generalized Autoregressive Conditional Heteroscedastic model (GARCH), and the Census X11 model. Applied to the Moroccan coastal fish production, the empirical results show that in terms of predictive ability the composite model outperforms the individual forecasting models. In addition, the results reveal that the forecast accuracy gains arising from combining the individual forecasts range from nearly 8% to over 95%.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.unagaliciamoderna.com/eawp/coldata/uplo ... tal_fish_Morocco.pdf

Related works:
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:eac:articl:10/14

Access Statistics for this article

More articles in Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016) from Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna Contact information at EDIRC.
Bibliographic data for series maintained by Jose González Seoane ().