Advanced Search
MyIDEAS: Login

An Ordinal Regression Model using Dealer Satisfaction Data

Contents:

Author Info

  • Alexander Staus

    ()
    (Institute for Agricultural Policy and Agricultural Markets, University of Hohenheim)

Abstract

This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the 'overall satisfaction' and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model which is also known as the proportional odds model is used to analyse the ordinal scaled rating of the dealers. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear regression model due to better interpretation, even the assumptions of a linear regression do not fit the data. Since the estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight of the relationship of the dealer satisfaction and the influencing variables. These methods are easy to use and it is recommended to list some of them in empirical papers.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: https://marktlehre.uni-hohenheim.de/fileadmin/einrichtungen/marktlehre/Arbeitsberichte/haa-nr15.pdf
Download Restriction: no

Bibliographic Info

Paper provided by University of Hohenheim, Institute for Agricultural Policy and Agricultural Markets in its series Hohenheimer Agrarökonomische Arbeitsberichte with number 15.

as in new window
Length: 19 pages
Date of creation: May 2007
Date of revision:
Handle: RePEc:hoh:hoh420:15

Contact details of provider:
Postal: Institut 420b, Schloss, Osthof-Süd, D-70593 Stuttgart
Phone: 0711/459-23599
Fax: 0711/459-22601
Email:
Web page: http://marktlehre.uni-hohenheim.de/
More information through EDIRC

Related research

Keywords: ordinal regression; dealer satisfaction; interpretation;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Rory Wolfe & William Gould, 1998. "An approximate likelihood-ratio test for ordinal response models," Stata Technical Bulletin, StataCorp LP, vol. 7(42).
  2. Philip Hans Franses & J.S. Cramer, 2010. "On the number of categories in an ordered regression model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(1), pages 125-128.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:hoh:hoh420:15. 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: (Alexander Staus).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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