Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model
Latent class models offer an alternative perspective to the popular mixed logit form, replacing the continuous distribution with a discrete distribution in which preference heterogeneity is captured by membership of distinct classes of utility description. Within each class, preference homogeneity i...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/15805 |
| _version_ | 1848748993328185344 |
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| author | Greene, William Hensher, D. |
| author_facet | Greene, William Hensher, D. |
| author_sort | Greene, William |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Latent class models offer an alternative perspective to the popular mixed logit form, replacing the continuous distribution with a discrete distribution in which preference heterogeneity is captured by membership of distinct classes of utility description. Within each class, preference homogeneity is usually assumed, although interactions with observed contextual effects are permissible. A natural extension of the fixed parameter latent class model is a random parameter latent class model which allows for another layer of preference heterogeneity within each class. This article sets out the random parameter latent class model and illustrates its applications using a stated choice data set on alternative freight distribution attribute packages pivoted around a recent trip in Australia. © 2012 Copyright Taylor and Francis Group, LLC. |
| first_indexed | 2025-11-14T07:13:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-15805 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:13:52Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-158052017-09-13T14:07:14Z Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model Greene, William Hensher, D. Latent class models offer an alternative perspective to the popular mixed logit form, replacing the continuous distribution with a discrete distribution in which preference heterogeneity is captured by membership of distinct classes of utility description. Within each class, preference homogeneity is usually assumed, although interactions with observed contextual effects are permissible. A natural extension of the fixed parameter latent class model is a random parameter latent class model which allows for another layer of preference heterogeneity within each class. This article sets out the random parameter latent class model and illustrates its applications using a stated choice data set on alternative freight distribution attribute packages pivoted around a recent trip in Australia. © 2012 Copyright Taylor and Francis Group, LLC. 2013 Journal Article http://hdl.handle.net/20.500.11937/15805 10.1080/00036846.2011.650325 restricted |
| spellingShingle | Greene, William Hensher, D. Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model |
| title | Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model |
| title_full | Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model |
| title_fullStr | Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model |
| title_full_unstemmed | Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model |
| title_short | Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model |
| title_sort | revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model |
| url | http://hdl.handle.net/20.500.11937/15805 |