GitHub

Indicator-Based Bayesian Variable Selection for Ordinal Probit Regression Model

Data Generation Function: Simulates datasets suitable for Ordinal Probit Regression Model. Model Fitting + AIC-Based Variable Selection Model Fitting + BIC-Based Variable Selection Model Fitting + ...
JSTOR Daily

A Bivariate Ordered Probit Model with Truncation: Helmet Use and Motorcycle Injuries

This is a preview. Log in through your library . Abstract I consider an ordered probit model in which some of the observations in one of the categories are missing. The model can be estimated because ...
Scientific Research Publishing

On the Estimation of Causality in a Bivariate Dynamic Probit Model on Panel Data with Stata Software: A Technical Review ()

In order to assess causality between binary economic outcomes, we consider the estimation of a bivariate dynamic probit model on panel data that has the particularity to account the initial conditions ...
IEEE

Spatial probit regression model: Recursive importance sampling approach

Abstract: The probit regression model is a model used to analyze the relationship between categorical response variables, with predictive variables that are numerical, categorical, or the combination ...
Frontiers

The relationship between farmers’ entrepreneurial behavior and macroeconomics based on the probit regression model and entrepreneurial psychological capital

At present, the research on the influence mechanism of psychological capital on farmers’ entrepreneurial behavior is relatively mature. However, the relationship between farmers’ entrepreneurial ...