Distortion Effects and Extreme Observations in Empirical Research: An Analysis of the Incremental Information Content of Cash Flows
Linear regression models have been used in a number of studies examining the presence or absence of incremental information contents in cash flow. The results of these studies have not been consistent. This paper draws attention to the critical issue of extreme observations in the data. Extreme observations which exert undues influence on the parameter estimates in a regression model are shown ti cause results which whilst statistically significant may be invalid.
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|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +61 3 9925 5858
Fax: +61 3 9925 5986
Web page: http://www.rmit.edu.au/bus/ecofin
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:melrfi:96-1. 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: (Thomas Krichel)
If references are entirely missing, you can add them using this form.