Random Regret-based Discrete Choice Modeling : A Tutorial

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Random Regret-based Discrete Choice Modeling; Preface; Contents; 1 Introduction; References; 2 A Random Regret Minimization-based Discrete Choice Model; Abstract; 2.1…A Random Regret-Function; 2.2…A Comparison with (Linear-Additive) Utility Maximization; 2.3…Regret-based Choice Probabilities and a RRM-based MNL-Model; References; 3 Empirical Application of Random Regret Minimization-Models; Abstract; 3.1…The Data; 3.2…Model Estimation; 3.3…Model Fit; 3.4…Interpretation of Parameters; 3.5…Market Share Forecasting; 3.6…Out-of-Sample Validity; References

4 Applicability of Random Regret Minimization-Models, and Their Strong and Weak PointsAbstract; 4.1…General Applicability; 4.1.1 Non-Generic Attributes; 4.1.2 Constants; 4.1.3 Non-continuous (Categorical) Attributes; 4.1.4 Hybrid RUM-RRM Models; 4.1.5 Interactions with Socio-Demographic Variables; 4.2…RRM: Strong Points; 4.3…RRM: Weak Points; References; 5 Selection of Recent Developments in RRM-Modeling; Abstract; 5.1…Random Regret Minimization for Decision-Making Under Uncertainty; 5.2…RRM for Modeling Household or Group Decision-Making

5.3…The Expected Regret of a Choice-Situation: An RRM-based Logsum5.4…An RRM-based Formulation of 'Value of Time'; References; Appendix Investigating the Assumption of i.i.d. Errorsin RRM-Models;

10.1007/978-3-642-29151-7 [DOI]

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