models used were the logit and probit model on brand awareness and the tobit model on the conditional willingness …

evidence that the standard conditional moment test for normality after tobit estimation has essentially no size distortion and …

This research develops a mixture regression model that is shown to have advantages over theclassical Tobit model in … flexibility in distributional assumptions while nesting the classic Tobit model. A simulated data set is utilized to assess the … potential loss in efficiency from model misspecification, assuming the Tobit and a zero-inflated log-normal distribution, which …

for predicting enrollments. The first is a multivariate censored regression model that handles zero enrollments and … alternative-specific correlation and random parameters. The second is a beta-binomial model, which recognizes that in practice … find that the beta-binomial model predicts as well as the multivariate censored model yet has fewer parameters. The beta …

to test which model(s) might be most relevant to reflect pricing strategies in food retailing. In this analysis, two …

-structured questionnaire. The tobit model was used to estimate theintensity of export success by horticultural enterprises in Ghana …