DMARIANO: Stata module to calculate Diebold-Mariano comparison of forecast accuracy
dmariano 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.
|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: |
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s433001. See general 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: (Christopher F Baum)
If references are entirely missing, you can add them using this form.