The logistic normal distribution has recently been adapted via the transformation of multivariate Gaussian variables to model the topical distribution of documents in the presence of correlations among topics. In this paper, we propose a probit normal alternative approach to modelling correlated topical structures. Our use of the probit model in the context of topic discovery is novel, as many ...

This paper proposes a prediction method based on an ordered semiparametric probit model for credit risk forecast. The proposed prediction model is constructed by replacing the linear regression function in the usual ordered probit model with a semiparametric function, thus it allows for more flexible choice of regression function. The unknown parameters in the proposed prediction model are esti...

This paper investigates factors affecting the demand for marijuana, cocaine and heroin in Australia using micro-unit data from a national survey. Accounting for cross-commodity correlation potentially induced by unobserved personal characteristics such as tastes and addictive personalities, we estimate a trivariate probit model where the participation decisions for all drugs are jointly modelle...

In the present paper a mixed approach is proposed for the simultaneously estimation of regression and correlation structure parameters in multivariate probit models using generalized estimating equations for the former and pseudo-score equations for the latter. The nite sample properties of the corresponding estimators are compared to estimators proposed by Qu, Williams, Beck and Medendorp (199...

The aim of this study is to analyze the migration process of the rural population of Bangladesh. Heckman Probit model with sample selection was applied in this paper to explore the determinants of migration and intensity of migration at farm household level. The farm survey was conducted in the central part of Bangladesh on 160 farm households with migrant and on 154 farm households without mig...

This paper proposes a model that can be implemented to estimate the willingness to pay for distributive justice, defined as distribution according to desert. We derive a formula that allows one to recover the willingness to pay for distributive justice from fiscal data and the estimated coefficients of a probit regression. Using this formula and data from a 1998 Gallup Social Audit, we find tha...

Ownership structure and industry characteristics as internal and external factors respectively significantly impact the export performance of Chinese manufacturing firms. Three different yet related models, namely, logit, tobit and ordered probit models, that correspond to three different indicators of export performance are considered. It was found that the export performance of Chinese manufa...

The aim of this research is to examine the possible effects of labour market institutional characteristics on young people’s perceptions of their internship experiences as expressed on Twitter. By looking at these opinions (satisfaction versus dissatisfaction) in relation to certain features of internships as well as to the more general labour market regulatory framework, this project aims to g...