Random Regret-based Discrete Choice Modeling

Caspar G. Chorus

ISBN 10: 3642291503 / ISBN 13: 9783642291500

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2012, 2012

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 64 pp. Englisch.

Codice articolo 9783642291500

Dati bibliografici

• Titolo: Random Regret-based Discrete Choice Modeling
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3642291503
• ISBN 13: 9783642291500
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 4 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 4 millimetri di profondità
• Peso: 113 grammi

Descrizione articolo

Riassunto

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.

Recensione

From the reviews:

“A brief tutorial on the use of a random discrete choice model that was recently developed by the author with collaborators. ... The book is mainly of interest to applied decision modelers who want an entry point to the author’s recent body of work.” (Jörg Stoye, Zentralblatt MATH, Vol. 1260, 2013)