A Comparison of Experimental Design Strategies for Multinomial Logit Models : The Case of Generic Attributes

  title={A Comparison of Experimental Design Strategies for Multinomial Logit Models : The Case of Generic Attributes},
  author={David S. Bunch and Jordan J. Louviere and Don Anderson},
The authors compare a variety of different designs for choice experiments that satisfy the properties of the MNL model. These include both previously published and new design approaches: the latter are based on “shifting” design codes to create choice alternatives that maximize the number of attribute comparisons. An analysis of relative statistical efficiency supports the use of the new Shifted Designs, although balanced incomplete block designs also perform well in certain cases. 


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