DMARIANO: Stata module to calculate Diebold-Mariano comparison of forecast accuracy
Abstractdmariano calculates a measure of predictive accuracy proposed by Diebold and Mariano (1995). Given an actual series and two competing predictions, one may apply a loss criterion (such as squared error, mean absolute error, or mean absolute percentage error) and then calculate a number of measures of predictive accuracy that allow the null hypothesis of equal accuracy to be tested. The S(1) measure, calculated in this routine, tests that the mean difference between the loss criteria for the two predictions is zero, using a long-run estimate of the variance of the difference series.
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 InfoSoftware component provided by Boston College Department of Economics in its series Statistical Software Components with number S433001.
Programming language: Stata
Requires: Stata version 9.2
Date of creation: 09 Jun 2003
Date of revision: 26 Apr 2011
Note: This module may be installed from within Stata by typing "ssc install dmariano". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).
If references are entirely missing, you can add them using this form.