mlogit: Random Utility Models in R

Yves Croissant

doi:10.18637/jss.v095.i11

Journal Articles Journal of Statistical Software Year : 2020

mlogit: Random Utility Models in R

(1)

Yves Croissant

Function : Author
PersonId : 6586
IdHAL : yves-croissant
ORCID : 0000-0002-4857-7736
IdRef : 089968719

Centre d'Économie et de Management de l'Océan Indien

Abstract

mlogit is a package for R which enables the estimation of random utility models with choice situation and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented.

Keywords

discrete choice models maximum likelihood estimation R econometrics

Domains

Humanities and Social Sciences Economics and Finance Humanities and Social Sciences Business administration

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Réunion Univ : Connect in order to contact the contributor

https://hal.univ-reunion.fr/hal-03019603

Submitted on : Monday, November 23, 2020-2:24:57 PM

Last modification on : Wednesday, November 3, 2021-4:30:23 AM

Long-term archiving on: Wednesday, February 24, 2021-7:21:08 PM

Dates and versions

hal-03019603 , version 1 (23-11-2020)

Licence

Attribution - CC BY 4.0

Identifiers

HAL Id : hal-03019603 , version 1
DOI : 10.18637/jss.v095.i11

Cite

Yves Croissant. mlogit: Random Utility Models in R. Journal of Statistical Software, 2020, 95 (11), pp.1-41. ⟨10.18637/jss.v095.i11⟩. ⟨hal-03019603⟩

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mlogit: Random Utility Models in R

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