Data augmentation and Gibbs sampling are two closely related, sampling-based approaches to the calculation of posterior moments. The fact that each produces a sample whose constituents are neither independent nor identically distributed complicates the assessment of convergence and numerical accuracy of the approximations to the expected value of functions of interest under the posterior. In th...

This paper examines the factors affecting the participation of farm households in farm land rental markets with particular focus on the impact of the land reform. The operational outcomes of such market participation are also analysed. The study used a panel dataset of farm households surveyed before and after the land reform with Random Effect Tobit model. The analysis showed that the land ref...

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...

this study analyzed the effectiveness of cassava women processors in value addition technologies in abia state, nigeria. purposive and simple random sampling techniques were used to select ninety (90) women. data for the study were collected through a structured questionnaire and analyzed with descriptive statistics such as: frequency, mean scores and percentages and inferential statistics (tob...

Multivariate Tobit models estimated using German cross–sectional data are applied to test if strategic complementarities exist between expenditures in four different types of ICT–components. If two ICT–components are complements, they are correlated (provided that agents act rationally). My results are that significant correlations between all four types of ICT–expenditures indeed exist that ca...

The goal of this paper is to introduce a partially adaptive estimator for the censored regression model based on an error structure described by a mixture of two normal distributions. The model we introduce is easily estimated by maximum likelihood using the EM algorithm adapted from the work of Bartolucci and Scaccia (2004). A Monte Carlo study is conducted to examine the small sample properti...

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 ...