Background: The PROBIT methodology was presented in the 1995 World Health Organization Technical Report on Anthropometry as an alternative to the standard prevalence based method of measuring malnutrition in children. Theoretically the PROBIT method will always give a smaller standard error than the standard prevalence method in measuring malnutrition. A recent article by Dale et al. assessed t...

BACKGROUND The PROBIT methodology was presented in the 1995 World Health Organization Technical Report on Anthropometry as an alternative to the standard prevalence based method of measuring malnutrition in children. Theoretically the PROBIT method will always give a smaller standard error than the standard prevalence method in measuring malnutrition. A recent article by Dale et al. assessed th...

Deprivation scales derived from multiple, typically dichotomous, indicators, are increasingly being used to measure households’ standards of living, and to complement poverty measures based on low income. We propose a type of multivariate probit model that generalizes the classical measurement model underlying the deprivation scale approach, allowing for heterogeneity and explicitly recognizing...

In this paper, the authors analyze product attributes and consumer characteristics in an international service selection decision. Previous work has focused on main effects without exploring the significance of interaction or individual heterogeneity effects. Using conjoint and ordered probit analyses, we find that including interaction and respondent specific dummy variables alters the impacts...

Using newly available data at the firm level, this study provides convincing evidence of the importance of financial constraints in explaining the timing of innovations in the German services sector. Based on a dynamic model of firms‘ optimal R&D behavior under financial constraints, we estimate various versions of an econometric specification of the model with dichotomous innovation data by us...

Data for discrete ordered random variables are often characterised by “excessive” zero observations. Traditional ordered probit models have limited capacity in explaining the preponderance of zero observations, especially when the zeros may relate to two distinct situations of non-participation and infrequent participation (or consumption), for example. We propose a zero-inflated ordered probit...

This study investigates the politico-economic determinants of the crowding-in effects of public investments in a cross-section of 25 developing countries for the 1975-2000 period using multivariate probit analysis. The estimation results show that public fixed capital investments may crowd in private investments, but this still depends on the developments in the economic, political, and legal e...

This study relies on data collected by the National Elections Studies project at the University of Michigan. Any errors in interpretation or analysis are the responsibility of the authors.

We consider a binary probit model where the latent variable follow a Gaussian Markov Random Field (GMRF). Our main objective is to derive an efficient Gibbs sampler for the above model. For this purpose, we first review two Gibbs samplers available for the classical probit model with one latent variable. We find that the joint update of variables increases the rate of convergence. We use these ...