To Include or Not to Include an Explanatory Variable: That is the Question
AbstractThe addition of an explanatory variable to a regression model can increase the model's historical explanatory power but decrease forecast accuracy. The difficult question is whether or not to use this explanatory variable in forecasting. The author shows how to estimate the expected effect of the variable's inclusion on forecast accuracy Copyright International Institute of Forecasters, 2005
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by International Institute of Forecasters in its journal Foresight: The International Journal of Applied Forecasting.
Volume (Year): (2005)
Issue (Month): 2 (October)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Pam Stroud).
If references are entirely missing, you can add them using this form.