A zero-inflated ordered probit model, with an application to modelling tobacco consumption

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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...

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Bibliographic Details
Main Authors:	Harris, Mark, Zhao, X.
Format:	Journal Article
Language:	English
Published:	Elsevier 2007
Subjects:	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
Online Access:	http://hdl.handle.net/20.500.11937/81800

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