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...

When no discharge record is available for a site, a regional regression relationship can be used to estimate low-flow quantiles. Problems arise in the derivation of such models when some at-site quantile estimates are reported as zero. One concern is that quantile estimates reported as zero may be in the range from zero to the measurement threshold. A second concern is that a logarithmic transf...

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...

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...

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 ...

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...

Parties in pluralist democracies face numerous political issues that citizens may be split on, but most models of party competition assume a simple, often one-dimensional structure. We develop a new, inherently multidimensional model of party strategy in which parties compete by emphasizing policy issues. Issue emphasis is determined by two distinct goals: mobilizing the party’s core voters and...

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...