The inability of households to save over time has significant influence on the rate of capital accumulation and economic growth in developing countries. In order to understand this trend, this research assesses savings rates and its correlates in rural Kwara state, Nigeria. A multistage sampling procedure was used to obtain data from 120 households. This was then analyzed using two descriptive ...

Absenteeism research has often been criticized for using inappropriate analysis. Characteristics of absence data, notably that it is usually truncated and skewed, violate assumptions of OLS regression; however, OLS and correlation analysis remain the dominant models of absenteeism research. This piece compares eight models that may be appropriate for analyzing absence data. Specifically, this p...

Truncated and censored regression models are useful when the dependent variable is observed in some ranges but not in others. A classical example is Tobin’s (1958) study of household expenditures, in which expenditures on durable goods were seen to generally increase with income, but a non-trivial number of households had no expenditures on durable goods. The problem, in this case, is how to mo...

abstract the purpose of this study is investigating factors affect on probability of willingness to pay sugar beet farmers for taking of agricultural extension services. logit model was used for cross sectional data in 2009 between 150 sugar beet farmers that were selected by random sampling in the city of mashhad. in addition, tobit model was used to analyse factors affecting on willingness to...

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...

In a longitudinal study with response data collected during a hospital stay, observations may be missing because of the subject's discharge from the hospital prior to completion of the study or the death of the subject, resulting in non-ignorable missing data. In addition to non-ignorable missingness, there is left-censoring in the response measurements because of the inherent limit of detectio...

This paper deals with a linear errors-in-variables model where the dependent variable is censored. A two-step procedure is proposed to derive the moment estimator of the model and the corresponding asymptotic covariance matrix. The results cover the moment estimation of the usual (error-free) Tobit model as a special case. It is shown that, under normality and a certain identifying condition, t...

The Tobit model (censored regression model) is an important basic model appearing in many applications in economics. In this paper we consider a duration Tobit model in which a duration variable which counts the number of times the data is being censored is included as a covariate. We show that in this case, the dependent variable eventually becomes degenerate, which makes the asymptotic Fisher...

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 ...

For testing a linear hypothesis in a censored regression (or censored “Tobit”) model, three test criteria and four test statistics based on least absolute deviations estimates of parameters are proposed and their limiting chi-square distributions are established. Some consistent estimates of nuisance parameters are obtained for use in computing the test statistics. A simulation study for small ...