Random Regret-based Discrete Choice Modeling

A Tutorial

  • Caspar G.┬áChorus

Part of the SpringerBriefs in Business book series (BRIEFSBUSINESS)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Caspar G. Chorus
    Pages 1-4
  3. Back Matter
    Pages 53-55

About this book

Introduction

This tutorial presents a hands-on introduction to a new discrete choice modeling approach based on the behavioral notion of regret-minimization. This so-called Random Regret Minimization-approach (RRM) forms a counterpart of the Random Utility Maximization-approach (RUM) to discrete choice modeling, which has for decades dominated the field of choice modeling and adjacent fields such as transportation, marketing and environmental economics. Being as parsimonious as conventional RUM-models and compatible with popular software packages, the RRM-approach provides an alternative and appealing account of choice behavior. Rather than providing highly technical discussions as usually encountered in scholarly journals, this tutorial aims to allow readers to explore the RRM-approach and its potential and limitations hands-on and based on a detailed discussion of examples. This tutorial is written for students, scholars and practitioners who have a basic background in choice modeling in general and RUM-modeling in particular. It has been taken care of that all concepts and results should be clear to readers that do not have an advanced knowledge of econometrics.

Keywords

RRM modeling discrete choice theory forecasting stated choice experiment travel demand model

Authors and affiliations

  • Caspar G.┬áChorus
    • 1
  1. 1.Dept. of Technology, Policy, ManagementDelft University of TechnologyDelftNetherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-29151-7
  • Copyright Information The Author(s) 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-29150-0
  • Online ISBN 978-3-642-29151-7
  • Series Print ISSN 2191-5482
  • Series Online ISSN 2191-5490
  • About this book