An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia
An Ordered Generalised Extreme Value (OGEV) model by Small (1987) is proposed for application to ordered discrete choice data. Relative to conventional Ordered Probit/Logit (OP/OL) and Multinomial Logit (MNL) models, the OGEV model is flexible, is defined by random utility maximization, and allows f...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | English |
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Elsevier BV * North-Holland
2006
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/81804 |
| _version_ | 1848764422783238144 |
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| author | Harris, Mark Ramful, P. Zhao, X. |
| author_facet | Harris, Mark Ramful, P. Zhao, X. |
| author_sort | Harris, Mark |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | An Ordered Generalised Extreme Value (OGEV) model by Small (1987) is proposed for application to ordered discrete choice data. Relative to conventional Ordered Probit/Logit (OP/OL) and Multinomial Logit (MNL) models, the OGEV model is flexible, is defined by random utility maximization, and allows for correlation across choices via unobservable individual characteristics according to locations of the choices in the ordering. The OGEV model is applied to unit record data from Australia to study the impacts of prices, income and demographic characteristics on levels of alcohol consumption. Model selection analysis suggests that OGEV is preferred to both OP and MNL for the application. |
| first_indexed | 2025-11-14T11:19:07Z |
| format | Journal Article |
| id | curtin-20.500.11937-81804 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:19:07Z |
| publishDate | 2006 |
| publisher | Elsevier BV * North-Holland |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-818042021-03-16T03:26:13Z An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia Harris, Mark Ramful, P. Zhao, X. Alcohol consumption, Discrete ordered data, Ordered Generalised Extreme Value model, Random utility maximisation, Rational addiction An Ordered Generalised Extreme Value (OGEV) model by Small (1987) is proposed for application to ordered discrete choice data. Relative to conventional Ordered Probit/Logit (OP/OL) and Multinomial Logit (MNL) models, the OGEV model is flexible, is defined by random utility maximization, and allows for correlation across choices via unobservable individual characteristics according to locations of the choices in the ordering. The OGEV model is applied to unit record data from Australia to study the impacts of prices, income and demographic characteristics on levels of alcohol consumption. Model selection analysis suggests that OGEV is preferred to both OP and MNL for the application. 2006 Journal Article http://hdl.handle.net/20.500.11937/81804 10.1016/j.jhealeco.2005.04.011 English Elsevier BV * North-Holland restricted |
| spellingShingle | Alcohol consumption, Discrete ordered data, Ordered Generalised Extreme Value model, Random utility maximisation, Rational addiction Harris, Mark Ramful, P. Zhao, X. An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia |
| title | An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia |
| title_full | An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia |
| title_fullStr | An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia |
| title_full_unstemmed | An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia |
| title_short | An Ordered Generalised Extreme Value Model with Application to Alcohol Consumption in Australia |
| title_sort | ordered generalised extreme value model with application to alcohol consumption in australia |
| topic | Alcohol consumption, Discrete ordered data, Ordered Generalised Extreme Value model, Random utility maximisation, Rational addiction |
| url | http://hdl.handle.net/20.500.11937/81804 |