This paper uses Data Envelopment Analysis to measure scale and technical efficiencies of 925 farms in rural Colombia and a Tobit model to identify the effects of land market characteristics on efficiency. Findings indicate that although larger farms are more scale efficient, they are not more technical efficient than small farms. Participation in land markets increases technical efficiency, ind...

This paper aims to evaluate the operating efficiency of e-market for exploring the efficiency-oriented critical drivers on the development of e-market. A hybrid approach consisting of data envelopment analysis (DEA) and bootstrapped Tobit regression analysis is adopted. The efficiency of forty-three emarkets is investigated with respect to their respective overall efficiency, technical efficien...

This paper develops a new method to solve multivariate discrete-continuous problems and applies the model to measure the influence of residential density on households’ vehicle fuel efficiency and usage choices. Traditional discrete-continuous modelling of vehicle holding choice and vehicle usage becomes unwieldy with large numbers of vehicles and vehicle categories. I propose a more flexible m...

We propose a new model for analyzing the length of hospital stay when variances are heterogeneous. This model is an alternative to the conventional models such as Cox’s proportional hazard model and can be used to address various problems of survival analysis. The model is a heteroskedastic version of the Box–Cox transformation model and is estimated by the tobit maximum likelihood method, and ...

Hospital expenses are a major cost driver of healthcare systems in Europe, with motor injuries being the leading mechanism of hospitalizations. This paper investigates the injury characteristics which explain the hospitalization of victims of traffic accidents that took place in Spain. Using a motor insurance database with 16,081 observations a generalized Tobit regression model is applied to a...

The problem of fitting a parametric model in Tobit errors-in-variables regression models is discussed in this paper. The proposed test is based on the supremum of the Khamaladze type transformation of a certain partial sum process of calibrated residuals. This framework covers the usual error-free Tobit model as a special case. The asymptotic null distribution of this transformed process is sho...

A Bayesian approach is proposed for coefficient estimation in Tobit quantile regression model. The proposed approach is based on placing a g-prior distribution depends on the quantile level on the regression coefficients. The prior is generalized by introducing a ridge parameter to address important challenges that may arise with censored data, such as multicollinearity and overfitting problems...

The study investigated performance of loan repayment among rice farmers under the MiDA agricultural credit programme in the Hohoe Municipality. Primary data was collected from 120 farmers from four beneficiary towns while secondary data was gathered from literatures and various actors. Multistage random sampling technique was used to select the respondents. Obtained data were analyzed using t-t...

The purpose of this study is designing a model based on Tobit regression, DEA, Artificial Neural Network, Genetic Algorithm and Particle Swarm Optimization to evaluate the efficiency and also benchmarking the efficient and inefficient units. This model has three stages, and it uses the data envelopment analysis combined model with neural network, optimized by genetic algorithm, to evaluate the ...