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

DOI10.1016/j.jeconom.2007.01.002zbMath1418.62462OpenAlexW2137490863MaRDI QIDQ289199

Mark N. Harris, Xue-yan Zhao

Publication date: 27 May 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2007.01.002

zbMATH Keywords

discrete dataordered outcomestobacco consumptionzero-inflated responses

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05)

Related Items (11)

A semi-nonparametric estimator of regression discontinuity design with discrete duration outcomes ⋮ Selection of influential variables in ordinal data with preponderance of zeros ⋮ Bayesian Markov-Switching Tensor Regression for Time-Varying Networks ⋮ A model for ordinal responses with heterogeneous status quo outcomes ⋮ A model for policy interest rates ⋮ A zero inefficiency stochastic frontier model ⋮ Inference on zero inflated ordinal models with semiparametric link ⋮ Handling endogeneity and nonnegativity in correlated random effects models: Evidence from ambulatory expenditure ⋮ Confidence intervals for the mean of a population containing many zero values under unequal-probability sampling ⋮ Bayesian approach to zero-inflated bivariate ordered probit regression model, with an application to tobacco use ⋮ A joint model for mixed longitudinal k-category inflation ordinal and continuous responses

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• Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods

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