IDEAS home Printed from https://ideas.repec.org/p/ags/uhgewp/98632.html
   My bibliography  Save this paper

An Ordinal Regression Model using Dealer Satisfaction Data

Author

Listed:
  • Staus, Alexander

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.

Suggested Citation

  • Staus, Alexander, 2007. "An Ordinal Regression Model using Dealer Satisfaction Data," Working Papers 98632, Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets.
  • Handle: RePEc:ags:uhgewp:98632
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/98632
    Download Restriction: no

    References listed on IDEAS

    as
    1. Becker, Tilman C., 2006. "Die CMA auf dem Prüfstand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 55(8).
    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.
    3. Elsasser, Andrea & Benner, Eckhard & Becker, Tilman C., 2006. "Marketing auf Wochenmärkten," Working Papers 98634, Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets.
    4. Rory Wolfe & William Gould, 1998. "An approximate likelihood-ratio test for ordinal response models," Stata Technical Bulletin, StataCorp LP, vol. 7(42).
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Keywords: ordinal regression; dealer satisfaction; interpretation; Agricultural and Food Policy; Marketing; C25; C51; Q13;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • 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

    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:uhgewp:98632. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/fwhohde.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.