MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or...

This paper introduces a new classifier based on the multi-class probit regressiton model for interval symbolic data. Each pattern of the learning set is described by a vector o features. Each feature is represented by an interval. Two versions of this classifier are considered. The first version fits a multi-class probit regression model conjointly on the lower and upper bounds of the interval ...

With computer simulations, we examined the performance of the Spearman-Kärber method for analyzing psychometric functions and compared this method with the standard technique of probit analysis. The Spearman-Kärber method was found to be superior in most cases. It generally yielded less biased and less variable estimates of the location and dispersion of a psychometric function, and it provided...

aim : the aim of this study was to determine whether there is relation between body mass index and symptoms of gastro-esophageal reflux disease in our community using logit, probit and complementary log-log models. background : the most frequent statistical tool to address the relationship among a dichotomous response and other covariates is logistic regression. however logistic regression is f...

Purpose – Recent developments in the literature on international trade and foreign direct investment (FDI) emphasise the role of firm characteristics in shaping firm participation in exports and FDI. The seminal work of Melitz and Helpman-Melitz-Yeaple (HMY) places heterogeneity in firm productivity at the heart of exporting and FDI. While the HMY hypothesis finds support for firms in the indus...

In this article we use meta-analysis to investigate the investment-uncertainty relationship. We focus on the direction and statistical significance of empirical estimates. Specifically, we estimate an ordered probit model and transform the estimated coefficients into marginal effects to reflect the changes in the probability of finding a significantly negative estimate, an insignificant estimat...

In relation to firms' innovative performance this study investigates the importance of human capital on the firms' absorptive capacity. The estimation of an ordered probit model including 1544 firms from the manufacturing and service industry in Denmark shows that the share of highly educated employees, application of human resource management practices within the firm, and development of a clo...

In this paper we examine a database assembled from an Australian public register of 553 merger decisions taken between March 2004 and July 2008. Mergers may be accepted without public assessment, accepted in conjunction with publication of a Public Competition Assessment, or rejected. We estimate an ordered probit model, using these three possible outcomes, with the objective of gaining better ...

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...

This paper explores determinants of church attendance and the formation of ‘religious human capital’ in Germany within a Becker-style allocation-of-time framework. The analysis is based on data derived from the German Socio-Economic Panel (GSOEP). Taking advantage of the longitudinal structure of the data, we are able to control for unobservable heterogeneity by applying a random-effects ordere...