We consider the Bayes estimation of the Tobit censored regression model with normally distributed errors. A simple condition for the existence of posterior moments is provided. Suitable versions of Monte Carlo procedures based on symmetric multivariate-t distributions, and Laplacian approximations in a certain parametrization, are developed and illustrated. Ideas involving data augmentation and...

In this paper, we use a semi-parametric two-stage model to examine the effect of bankspecific, industry-specific and macroeconomic determinants of bank efficiency. This method, proposed by Simar and Wilson (2007), relaxes several deficiencies of previous two-stage analyses, which regress non-parametric estimates of bank efficiency on exogenous determinants. In particular, we propose a bootstrap...

most of the population of nigeria is rural and agriculture is the mainstay of the impoverished people’s livelihood. this paper estimated the determinants of rural poverty in nigeria using the tobit regression model. through the multistage sampling technique, primary data were obtained from 150 rural farming households using a questionnaire. the result of tobit regression analysis shows that inc...

Analysis of gene quantities measured by quantitative real-time PCR (qPCR) can be complicated by observations that are below the limit of quantification (LOQ) of the assay. A hierarchical model estimated using MCMC methods was developed to analyze qPCR data of genes with observations that fall below the LOQ (censored observations). Simulated datasets with moderate to very high levels of censorin...

The standard tobit or censored regression model is typically utilized for regression analysis when the dependent variable is censored. This model is generalized by developing a conditional mixture, maximum likelihood method for latent class censored regression. The proposed method simultaneously estimates separate regression functions and subject membership in K latent classes or groups given a...

Biological quantitative data are subjected to censoring when a portion of values cannot be quantified because they are smaller or greater than the limit of detection (LOD) of the laboratory assay. In genetic association studies of quantitative trait, the handling of censored data has received little attention and often the solutions are unsatisfactory. However, the approach used to deal with su...

We propose a new family of error distributions for model-based quantile regression, which is constructed through a structured mixture of normal distributions. The construction enables fixing specific percentiles of the distribution while, at the same time, allowing for varying mode, skewness and tail behavior. It thus overcomes the severe limitation of the asymmetric Laplace distribution – the ...

This paper investigates how managerial capacity aspects influence efficiency of dairy farms in Sweden. Based on non-parametric methods, Tobit and logistic regressions, several managerial capacity aspects are found to influence long and short run input efficiency scores, but to influence output efficiency less. Examples of important aspects are: internal locus of control, positive profitability ...