A zero-inflated ordered probit model,with an application to modelling tobacco consumption |
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Authors: | Mark N. Harris Xueyan Zhao |
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Affiliation: | Department of Econometrics and Business Statistics, Building 11, Wellington Road, Clayton Campus, Monash University, Vic. 3800, Australia |
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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. |
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Keywords: | C3 D1 I1 |
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