Bayesian Approach to Zero-Inflated Bivariate Ordered Probit Regression Model, with an Application to Tobacco Use
Joint Authors
Gurmu, Shiferaw
Dagne, Getachew A.
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-12
Country of Publication
Egypt
No. of Pages
26
Main Subjects
Abstract EN
This paper presents a Bayesian analysis of bivariate ordered probit regression model with excess of zeros.
Specifically, in the context of joint modeling of two ordered outcomes, we develop zero-inflated bivariate ordered probit model and carry out estimation using Markov Chain Monte Carlo techniques.
Using household tobacco survey data with substantial proportion of zeros, we analyze the socioeconomic determinants of individual problem of smoking and chewing tobacco.
In our illustration, we find strong evidence that accounting for excess zeros provides good fit to the data.
The example shows that the use of a model that ignores zero-inflation masks differential effects of covariates on nonusers and users.
American Psychological Association (APA)
Gurmu, Shiferaw& Dagne, Getachew A.. 2011. Bayesian Approach to Zero-Inflated Bivariate Ordered Probit Regression Model, with an Application to Tobacco Use. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-26.
https://search.emarefa.net/detail/BIM-485523
Modern Language Association (MLA)
Gurmu, Shiferaw& Dagne, Getachew A.. Bayesian Approach to Zero-Inflated Bivariate Ordered Probit Regression Model, with an Application to Tobacco Use. Journal of Probability and Statistics No. 2012 (2012), pp.1-26.
https://search.emarefa.net/detail/BIM-485523
American Medical Association (AMA)
Gurmu, Shiferaw& Dagne, Getachew A.. Bayesian Approach to Zero-Inflated Bivariate Ordered Probit Regression Model, with an Application to Tobacco Use. Journal of Probability and Statistics. 2011. Vol. 2012, no. 2012, pp.1-26.
https://search.emarefa.net/detail/BIM-485523
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485523