randregret: A command for fitting random regret minimization models using Stata

Álvaro A. Gutiérrez-Vargas (), Michel Meulders () and Martina Vandebroek ()
Additional contact information
Álvaro A. Gutiérrez-Vargas: KU Leuven
Michel Meulders: KU Leuven
Martina Vandebroek: KU Leuven

Stata Journal, 2021, vol. 21, issue 3, 626-658

Abstract: In this article, we describe the randregret command, which imple- ments a variety of random regret minimization (RRM) models. The command allows the user to apply the classic RRM model introduced in Chorus (2010, Eu- ropean Journal of Transport and Infrastructure Research 10: 181–196), the gen- eralized RRM model introduced in Chorus (2014, Transportation Research, Part B 68: 224–238), and also the μRRM and pure RRM models, both introduced in van Cranenburgh, Guevara, and Chorus (2015, Transportation Research, Part A 74: 91–109). We illustrate the use of the randregret command by using stated choice data on route preferences. The command offers robust and cluster standard- error correction using analytical expressions of the score functions. It also offers likelihood-ratio tests that can be used to assess the relevance of a given model spec- ification. Finally, users can obtain the predicted probabilities from each model by using the randregretpred command.

Keywords: randregret; randregret_pure; randregretpred; discrete choice models; semicompensatory behavior; random utility maximization; random regret minimization (search for similar items in EconPapers)
Date: 2021
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj21-3/st0649/
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0649 link to article purchase

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:21:y:2021:i:3:p:626-658

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X211045538

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().