An Ordinal Regression Model using Dealer Satisfaction Data

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Hohenheimer Agrarökonomische Arbeitsberichte ; No. 15

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities ; Model Construction and Estimation ; Agricultural Markets and Marketing; Cooperatives; Agribusiness
• Subject: ordinal regression ; dealer satisfaction ; interpretation ; Händlerzufriedenheit ; ordinale Regression ; Regressionsanalyse ; Qualitative Methode ; Theorie ; Lieferantenmanagement ; Schätzung ; Deutschland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Staus, Alexander
• Event: Veröffentlichung
• (who): Universität Hohenheim, Institut für Agrarpolitik und Landwirtschaftliche Marktlehre
• (where): Stuttgart
• (when): 2007

Further information

• Handle: http://hdl.handle.net/10419/121795
• URN: urn:nbn:de:bsz:100-opus-1970
• Last update: 10.03.2025, 11:45 AM CET