This paper discusses the inherent problems associated with applying dummy coding when including a fixed comparator in a discrete choice experiment, and seeks to illustrate the misinterpretations that may arise if the analyst is not aware of the problem. This note provides two examples of possible misinterpretations with dummy coding and how it is solved with the use of effects coding. Copyright © 2005 John Wiley & Sons, Ltd.
This paper examines the effect of mismeasured discrete regressors in binary choice models. I examine...
This paper considers the nonparametric identification and estimation of the average effect of a dumm...
In factorial experiments the selection of defining contrasts and effects to be confounded with block...
This paper discusses the inherent problems associated with applying dummy coding when including a fi...
This note revisits the issue of the specification of categorical variables in choice models, in the ...
Two known methods of coding data for analyses in the presence of multicollinearity and evaluation of...
Recent Monte Carlo work on choosing experimental designs for discrete choice experiments seemed to g...
This is code (and simulated data from that code) to assess how sample size and the numbers of levels...
An elicitation format prevalently applied in discrete choice experiments (DCE) is to offer each resp...
Experimenters have to make theoretically irrelevant decisions concerning user interfaces and orderin...
This paper shows how researchers can make incorrect interpretations of models that include heterogen...
AbstractThis chapter addresses basic topics related to choice data analysis. It starts by describing...
A discrete choice experiment (DCE) is a survey method that givesinsight into individual preferences ...
A discrete choice experiment (DCE) allows researchers to understand how individuals value characteri...
This paper is concerned with the ability and inclination of respondents to respond to choice tasks i...
This paper examines the effect of mismeasured discrete regressors in binary choice models. I examine...
This paper considers the nonparametric identification and estimation of the average effect of a dumm...
In factorial experiments the selection of defining contrasts and effects to be confounded with block...
This paper discusses the inherent problems associated with applying dummy coding when including a fi...
This note revisits the issue of the specification of categorical variables in choice models, in the ...
Two known methods of coding data for analyses in the presence of multicollinearity and evaluation of...
Recent Monte Carlo work on choosing experimental designs for discrete choice experiments seemed to g...
This is code (and simulated data from that code) to assess how sample size and the numbers of levels...
An elicitation format prevalently applied in discrete choice experiments (DCE) is to offer each resp...
Experimenters have to make theoretically irrelevant decisions concerning user interfaces and orderin...
This paper shows how researchers can make incorrect interpretations of models that include heterogen...
AbstractThis chapter addresses basic topics related to choice data analysis. It starts by describing...
A discrete choice experiment (DCE) is a survey method that givesinsight into individual preferences ...
A discrete choice experiment (DCE) allows researchers to understand how individuals value characteri...
This paper is concerned with the ability and inclination of respondents to respond to choice tasks i...
This paper examines the effect of mismeasured discrete regressors in binary choice models. I examine...
This paper considers the nonparametric identification and estimation of the average effect of a dumm...
In factorial experiments the selection of defining contrasts and effects to be confounded with block...
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