An Ordinal Regression Model using Dealer Satisfaction Data
AbstractThis 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 InfoIf 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.
Bibliographic InfoPaper provided by Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets in its series Working Papers with number 98632.
Date of creation: May 2007
Date of revision:
Keywords: ordinal regression; dealer satisfaction; interpretation; Agricultural and Food Policy; Marketing; C25; C51; Q13;
Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
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.:
- Philip Hans Franses & J.S. Cramer, 2010.
"On the number of categories in an ordered regression model,"
Netherlands Society for Statistics and Operations Research, vol. 64(1), pages 125-128.
- Franses, Ph.H.B.F. & Cramer, J.S., 2002. "On the number of categories in an ordered regression model," Econometric Institute Research Papers EI 2002-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Elsasser, Andrea & Benner, Eckhard & Becker, Tilman C., 2006. "Marketing auf Wochenmärkten," Working Papers 98634, Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets.
- Rory Wolfe & William Gould, 1998. "An approximate likelihood-ratio test for ordinal response models," Stata Technical Bulletin, StataCorp LP, vol. 7(42).
- Becker, Tilman C., 2006. "Die CMA auf dem PrÃ¼fstand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 55(8).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
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.