A zero-inflated ordered probit model, with an application to modelling tobacco consumption
Data for discrete ordered dependent variables are often characterised by "excessive" zero observations which may relate to two distinct data generating processes. Traditional ordered probit models have limited capacity in explaining this preponderance of zero observations. We propose a zer...
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier
2007
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/81800 |
| _version_ | 1848764421768216576 |
|---|---|
| author | Harris, Mark Zhao, X. |
| author_facet | Harris, Mark Zhao, X. |
| author_sort | Harris, Mark |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Data for discrete ordered dependent variables are often characterised by "excessive" zero observations which may relate to two distinct data generating processes. Traditional ordered probit models have limited capacity in explaining this preponderance of zero observations. We propose a zero-inflated ordered probit model using a double-hurdle combination of a split probit model and an ordered probit model. Monte Carlo results show favourable performance in finite samples. The model is applied to a consumer choice problem of tobacco consumption indicating that policy recommendations could be misleading if the splitting process is ignored. © 2007 Elsevier B.V. All rights reserved. |
| first_indexed | 2025-11-14T11:19:06Z |
| format | Journal Article |
| id | curtin-20.500.11937-81800 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:19:06Z |
| publishDate | 2007 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-818002021-03-25T02:27:22Z A zero-inflated ordered probit model, with an application to modelling tobacco consumption Harris, Mark Zhao, X. Social Sciences Science & Technology Physical Sciences Economics Mathematics, Interdisciplinary Applications Social Sciences, Mathematical Methods Business & Economics Mathematics Mathematical Methods In Social Sciences ordered outcomes discrete data tobacco consumption zero-inflated responses COUNT DATA MODELS SPECIFICATION TESTS DEPENDENT VARIABLES DEMAND MARIJUANA SELECTION ALCOHOL Data for discrete ordered dependent variables are often characterised by "excessive" zero observations which may relate to two distinct data generating processes. Traditional ordered probit models have limited capacity in explaining this preponderance of zero observations. We propose a zero-inflated ordered probit model using a double-hurdle combination of a split probit model and an ordered probit model. Monte Carlo results show favourable performance in finite samples. The model is applied to a consumer choice problem of tobacco consumption indicating that policy recommendations could be misleading if the splitting process is ignored. © 2007 Elsevier B.V. All rights reserved. 2007 Journal Article http://hdl.handle.net/20.500.11937/81800 10.1016/j.jeconom.2007.01.002 English Elsevier restricted |
| spellingShingle | Social Sciences Science & Technology Physical Sciences Economics Mathematics, Interdisciplinary Applications Social Sciences, Mathematical Methods Business & Economics Mathematics Mathematical Methods In Social Sciences ordered outcomes discrete data tobacco consumption zero-inflated responses COUNT DATA MODELS SPECIFICATION TESTS DEPENDENT VARIABLES DEMAND MARIJUANA SELECTION ALCOHOL Harris, Mark Zhao, X. A zero-inflated ordered probit model, with an application to modelling tobacco consumption |
| title | A zero-inflated ordered probit model, with an application to modelling tobacco consumption |
| title_full | A zero-inflated ordered probit model, with an application to modelling tobacco consumption |
| title_fullStr | A zero-inflated ordered probit model, with an application to modelling tobacco consumption |
| title_full_unstemmed | A zero-inflated ordered probit model, with an application to modelling tobacco consumption |
| title_short | A zero-inflated ordered probit model, with an application to modelling tobacco consumption |
| title_sort | zero-inflated ordered probit model, with an application to modelling tobacco consumption |
| topic | Social Sciences Science & Technology Physical Sciences Economics Mathematics, Interdisciplinary Applications Social Sciences, Mathematical Methods Business & Economics Mathematics Mathematical Methods In Social Sciences ordered outcomes discrete data tobacco consumption zero-inflated responses COUNT DATA MODELS SPECIFICATION TESTS DEPENDENT VARIABLES DEMAND MARIJUANA SELECTION ALCOHOL |
| url | http://hdl.handle.net/20.500.11937/81800 |