By the end of 1999 HIV/AIDS was present in at least 200 countries and approximately 34.3 million people were living with the disease, 5.3 million of whom had been infected in that year alone (WHO 2000). Approximately 21.8 million persons had died from AIDS by 2000 and countries where life...

Loss of a parent is one of the most traumatic events a child can face. If loss of a parent reduces investments in children, it can also have long-lasting implications. This study uses parametric and semi-nonparametric matching techniques to estimate how one human capital investment, school...

The purpose of this paper is to explore the determinants of economic well-being. We provide a methodology to compute well-being by aggregating different socio-economic dimensions with factor analysis technique. We also estimate quality of good governance (using latent variable approach) and a...

This paper compares generalized method of moments (GMM) and simulated maximum likelihood (SML) approaches to the estimation of the panel probit model. Both techniques circumvent multiple integration of joint density functions without the need to restrict the error term variance- covariance...

Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented...

This paper presents an empirical study of GDP per worker (and per capita) convergence across German labour market regions during 1992 to 2002 using nonparametric techniques. There is evidence for a tendency towards convergence during the observed period, i.e. regions that were less productive in...

In this paper we propose a semiparametric Bayesian framework for the analysis of stochastic frontiers and efficiency measurement. The distribution of inefficiencies is modelled nonparametrically through a Dirichlet process prior. We suggest prior distributions and implement a Bayesian analysis...

In panel data the interest is often in slope estimation while taking account of the unobserved cross sectional heterogeneity. This paper proposes two nonparametric slope estimation where the unobserved effect is treated as fixed across cross section. The first estimator uses first-differencing...

Linear models with error components are widely used to analyze panel data. Some applications of these models require knowledge of the probability densities of the error components. Existing methods handle this requirement by assuming that the densities belong to known parametric families of...

Nigeria is going through a difficult political and economic transition after decades of independence.Yet, Nigeria remains a society rich in cultural, linguistic, religious, ethnic and political diversity. Today, the average Nigerian struggles hard to make ends meet; sees himself or herself as...