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| Staus, Alexander. |
| 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... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Keywords: ordinal regression; Dealer satisfaction; Interpretation; Agricultural and Food Policy; Marketing; C25; C51; Q13. |
| Ano: 2007 |
URL: http://purl.umn.edu/98632 |
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| Staus, Alexander. |
| Modeling consumer choice in different areas has lead to an increase use of discrete choice models. Probit or Multinomial Logit Models are often the base of further empirical research of consumer choice. In some of these models the equations to solve have no closed-form expression. They include multi-dimensional integrals which can not be solved analytically. Simulation methods have been developed to approximate a solution for these integrals. This paper describes the Standard Halton sequence and a modification of it, the Shuffled Halton sequence. Both are simulation methods which can reduce computational effort compared to a random sequence. We compare the simulation methods in their coverage of the multi-dimensional area and in their estimation results... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Simulation; Mixed logit; Halton sequence; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; C15; C25. |
| Ano: 2008 |
URL: http://purl.umn.edu/93856 |
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