A Technical Note on a Direct Estimate of the Significance of Bias in Forecasts
Albert E. DePrince
No 200602, Working Papers from Middle Tennessee State University, Department of Economics and Finance
Abstract:
This paper provides a direct test for forecast bias using the Thiel equation. In this test the constant term is simply the difference between the mean of the forecast and the mean of the actual data. A simple data transformation leads to this specification of the constant term. The approach is expanded to include a function with additional independent variables where one is interested in the constant term being simply the difference of the means of the dependent and any one of the independent variables.
Keywords: forecast bias; test for bias (search for similar items in EconPapers)
JEL-codes: C2 (search for similar items in EconPapers)
Date: 2006-03
New Economics Papers: this item is included in nep-ecm and nep-for
References: Add references at CitEc
Citations:
Downloads: (external link)
http://capone.mtsu.edu/berc/working/WP-DePrince-0306.pdf (application/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:mts:wpaper:200602
Access Statistics for this paper
More papers in Working Papers from Middle Tennessee State University, Department of Economics and Finance Contact information at EDIRC.
Bibliographic data for series maintained by Benjamin Jansen ().