haku: @journal_id 58 / yhteensä: 815
viite: 69 / 815
Tekijä: | Arora, N. Huber, J. |
Otsikko: | Improving Parameter Estimates and Model Prediction by Aggregate Customization in Choice Experiments |
Lehti: | Journal of Consumer Research
2002 : SEP, VOL. 28:2, p. 273-283 |
Asiasana: | ESTIMATION ESTIMATION ERRORS MODELS ANALYTICAL REVIEW |
Kieli: | eng |
Tiivistelmä: | The authors propose aggregate customization as an approach to improve individual estimates using a hierarchical Bayes choice model. The authors' approach involves the use of prior estimates to build a common design customized for the average respondent. The authors conduct two simulation studies to investigate conditions that are most conducive to aggregate customization. The simulations are validated by a field study showing that aggregate customization results in better estimates of individual parameters and more accurate predictions of individuals' choices. The proposed approach is easy to use, and a simulation study can assess the expected benefit from aggregate customization prior to its implementation. |
SCIMA