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...

Background: Health state valuation exercises can be conducted online, but the quality of data generated is unclear. Objective: To investigate whether responses to binary choice health state valuation questions differ by administration mode: online versus face to face. Methods: Identical surveys including demographic, self-reported health status, and seven types of binary choice valuation questi...

BACKGROUND Health state valuation exercises can be conducted online, but the quality of data generated is unclear. OBJECTIVE To investigate whether responses to binary choice health state valuation questions differ by administration mode: online versus face to face. METHODS Identical surveys including demographic, self-reported health status, and seven types of binary choice valuation quest...

Geographically weighted regression (GWR) enjoys wide application in regional science, thanks to its relatively straightforward formulation and explicit treatment of spatial effects. However, its application to discrete-response data sets and land use change at the level of urban parcels has remained a novelty. This work combines logit specifications with GWR techniques to anticipate five catego...

Researchers typically analyze time-series–cross-section data with a binary dependent variable (BTSCS) using ordinary logit or probit. However, BTSCS observations are likely to violate the independence assumption of the ordinary logit or probit statistical model. It is well known that if the observations are temporally related that the results of an ordinary logit or probit analysis may be misle...

BACKGROUND A discrete choice experiment (DCE) is a preference survey which asks participants to make a choice among product portfolios comparing the key product characteristics by performing several choice tasks. Analyzing DCE data needs to account for within-participant correlation because choices from the same participant are likely to be similar. In this study, we empirically compared some c...

With the arrival of gene expression microarrays a new challenge has opened up for identification or classification of cancer tissues. Due to the large number of genes providing valuable information simultaneously compared to very few available tissue samples the cancer staging or classification becomes very tricky. In this paper we introduce a hierarchical Bayesian probit model for two class ca...

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...