Finite-sample properties of tests for forecast equivalence
This paper uses Monte Carlo experiments to examine the small-sample properties of some commonly used tests of equal forecast accuracy. The study pays particular attention to test power, evaluated using both asymptotic and empirical critical values. In addition to evaluating different tests, this paper evaluates the performance of different methods of determining the bandwidth used in computing autocorrelation-consistent test statistics. The simulation results show that tests of equal forecast accuracy have somewhat inflated size and modest or even low power. Moreover, the performances of the different tests and the bandwidth selection criteria are broadly similar.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||1996|
|Contact details of provider:|| Postal: 1 Memorial Drive, Kansas City, MO 64198-0001|
Phone: (816) 881-2254
Web page: http://www.kansascityfed.org/
More information through EDIRC
|Order Information:|| Email: |
When requesting a correction, please mention this item's handle: RePEc:fip:fedkrw:96-03. 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: (Lu Dayrit)
If references are entirely missing, you can add them using this form.