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

By Mark N. Harris, Xueyan Zhao. 2007

230 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/dd6b84bfafcb256cae493703cfb528d1707cee67

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. William H. Greene
2. David A. Hensher
3. Stephane Hess
4. John M. Rose
5. Riccardo Scarpa
6. S. B. Olsen
7. Grigorios Fountas
8. Panagiotis Ch. Anastasopoulos

In Marketing

1. David A. Hensher
2. William H. Greene
3. Stephane Hess
4. Grigorios Fountas
5. Panagiotis Ch. Anastasopoulos
6. John M. Rose
7. S. B. Olsen
8. Riccardo Scarpa

Citations in the corpus

• Modeling Ordered Choices: A Primer and Recent Developments (2008, background): “…• product quality [Bresnahan (1987), Prescott and Visscher (1977), Shaked and Sutton (1982)], • promotion and rank in nursing [Pudney and Shields (2000)], • stock price movements [Tsay (2005)], • tobacco use [Harris and Zhao (2007), Kasteridis, Munkin and Yen (2008)], and hundreds more.”
• Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances (2018, methodology): “To test whether there is statistically significant difference in the correctly predicted outcomes provided by the competitive models, the Vuong statistic is calculated as (Shankar et al., 1997; Harris and Zhao, 2007; Washington et al., 2011):”