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ARTICLE IN PRESS Journal of Econometrics 141 (2007) 1073 1099 www.elsevier.com/locate/jeconom A zero-inflated ordered profit model, with an application to modelling tobacco consumption Mark N. Harris,

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What is a zero-inflated ordered probit?

A zero-inflated ordered probit is a statistical model used to analyze ordered categorical data that contains excess zeros, meaning a considerable number of observations fall into the lowest or highest category with a probability greater than expected by chance.

Who is required to file a zero-inflated ordered probit?

The requirement to file a zero-inflated ordered probit depends on the purpose or context in which the model is being used. It is primarily used by researchers or analysts in fields such as economics, sociology, or public health to study factors affecting an ordered outcome variable with a potential excess of zero values.

How to fill out a zero-inflated ordered probit?

Filling out a zero-inflated ordered probit involves multiple steps. Firstly, you need to define and gather the necessary data, including the ordered outcome variable and potential explanatory variables. Then, you perform the estimation of model parameters using specialized software or programming languages. Finally, you interpret the results to draw conclusions about the relationships between the explanatory variables and the ordered outcome.

What is the purpose of a zero-inflated ordered probit?

The purpose of a zero-inflated ordered probit is to understand the factors influencing an ordered outcome variable while accounting for excessive zeros. This model helps to identify the effects of explanatory variables on the probability of different ordered categories, as well as the zero inflation process.

What information must be reported on a zero-inflated ordered probit?

The information to be reported in a zero-inflated ordered probit analysis includes details about the ordered outcome variable, explanatory variables, estimation method used, model-fit statistics, parameter estimates, standard errors, and potentially additional diagnostic measures or sensitivity analyses.

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