IDEAS home Printed from https://ideas.repec.org/p/ags/canzdp/263005.html
   My bibliography  Save this paper

Preliminary-Test Estimation of the Regression Scale Parameter When the Loss Function is Asymmetric

Author

Listed:
  • Giles, Judith A.
  • Giles, David E. A.

Abstract

Various studies have considered the risk properties under Quadratic loss, of estimators of the scale parameter after a preliminary test for exact linear restrictions on the regression coefficients. This loss function is symmetric though, arguably, under-estimation of the scale has greater consequences than over-estimation. In this paper we consider the LINEX loss function, which allows for an asymmetric penalty. We derive the exact risk of estimators of the error variance after a pre-test of exact restrictions and we numerically evaluate the derived expressions. The results are compared with those under quadratic loss so that the effects of the asymmetry can be ascertained.

Suggested Citation

Handle: RePEc:ags:canzdp:263005
DOI: 10.22004/ag.econ.263005
as

Download full text from publisher

File URL: https://ageconsearch.umn.edu/record/263005/files/canterbury-nz-037.pdf
Download Restriction: no
File URL: https://ageconsearch.umn.edu/record/263005/files/canterbury-nz-037.pdf?subformat=pdfa
Download Restriction: no
File URL: https://libkey.io/10.22004/ag.econ.263005?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:canzdp:263005. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.