A zero-inflated ordered probit model, with an application to modelling tobacco consumption
dc.contributor.author | Harris, Mark | |
dc.contributor.author | Zhao, X. | |
dc.date.accessioned | 2020-11-26T07:16:21Z | |
dc.date.available | 2020-11-26T07:16:21Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Harris, M.N. and Zhao, X. 2007. A zero-inflated ordered probit model, with an application to modelling tobacco consumption. Journal of Econometrics. 141 (2): pp. 1073-1099. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/81800 | |
dc.identifier.doi | 10.1016/j.jeconom.2007.01.002 | |
dc.description.abstract |
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. | |
dc.language | English | |
dc.publisher | Elsevier | |
dc.subject | Social Sciences | |
dc.subject | Science & Technology | |
dc.subject | Physical Sciences | |
dc.subject | Economics | |
dc.subject | Mathematics, Interdisciplinary Applications | |
dc.subject | Social Sciences, Mathematical Methods | |
dc.subject | Business & Economics | |
dc.subject | Mathematics | |
dc.subject | Mathematical Methods In Social Sciences | |
dc.subject | ordered outcomes | |
dc.subject | discrete data | |
dc.subject | tobacco consumption | |
dc.subject | zero-inflated responses | |
dc.subject | COUNT DATA MODELS | |
dc.subject | SPECIFICATION TESTS | |
dc.subject | DEPENDENT VARIABLES | |
dc.subject | DEMAND | |
dc.subject | MARIJUANA | |
dc.subject | SELECTION | |
dc.subject | ALCOHOL | |
dc.title | A zero-inflated ordered probit model, with an application to modelling tobacco consumption | |
dc.type | Journal Article | |
dcterms.source.volume | 141 | |
dcterms.source.number | 2 | |
dcterms.source.startPage | 1073 | |
dcterms.source.endPage | 1099 | |
dcterms.source.issn | 0304-4076 | |
dcterms.source.title | Journal of Econometrics | |
dcterms.source.place | Netherlands | |
dc.date.updated | 2020-11-26T07:16:21Z | |
curtin.department | School of Economics, Finance and Property | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | Faculty of Business and Law | |
curtin.contributor.orcid | Harris, Mark [0000-0002-1804-4357] | |
curtin.contributor.scopusauthorid | Harris, Mark [35561581200] [55310794400] |