On the robustness of efficient experimental designs towards the underlying decision rule

The authors present a methodology to derive efficient designs for Stated Choice (SC) experiments based on Random Regret Minimisation (RRM) behavioural assumptions. This complements earlier work on the design of efficient SC experiments based on Random Utility Maximisation (RUM) models. Capitalizing on this methodology, and using both analytical derivations and empirical data, the authors investigate the importance of the analyst’s assumption regarding the underlying decision rule used to generate the efficient experimental design. The authors find that conventional RUM-efficient designs can be statistically highly inefficient in cases where RRM is the better representation of the actual choice behaviour, and vice versa. Furthermore, the authors present a methodology to construct efficient designs that are robust towards the uncertainty on the side of the analyst regarding the underlying decision rule.


  • English

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  • Accession Number: 01665814
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 26 2018 2:45PM