We employ a non-parametric methodology, Data Envelopment Analysis, to estimate efficiency scores for Portuguese public universities for 2001. Due to the tertiary education organisational features we consider universities as well as faculties and institutes as decision entities. Using frontier...

This paper is concerned with the problem of estimating the demand for health care with panel data. A random effects model is specifed in a semiparametric Bayesian fashion using a Dirichlet process prior. This results in a very exible mixture distribution with an in nite number of components for...

Decision processes among couples depend on the balance of power between the partners, determining the welfare of household members as well as household outcomes. However, little is known about the determinants of power. The collective model of household behavior gives an operational definition...

We use panel data from the US Health and Retirement Study 1992-2002 to estimate the effect of self-assessed health limitations on active labor market participation of men around retirement age. Self-assessments of health and functioning typically introduce an endogeneity bias when studying the...

Pashardes (1991) and Banks, Blundell and Preston (1994) use parametric methods to estimate lifetime equivalence scales. Their approaches put parametric restrictions on the differences in within-period expenditure needs across household types, the intertemporal allocation of expenditure, and the...

In this paper, minimal conditions under which a semi-parametric binary response model is identified in a Bayesian framework are presented and compared to the conditions usually required in a sampling theory framework.

This paper is concerned with the empirical investigation of models of the US short term interest rate, using a mixture of classical non-parametric methods and of Bayesian parametric methods. The shape of the drift and volatility functions of the usual di usion equation are rst investigated using...

This paper examines the empirical interplay between economic growth and greenhouse gas emissions using panel data. Relying on nonparametric methods, we find evidence supporting specifications which assume the constancy of the relationship between CO2 emissions and GDP per capita during the...

We drive the minimum variance quadratic unbiased estimator (MIVQUE) of the variance of the components of a random vector having a compound normal distribution (CND). We show that the MIVQUE converges in probability to a random variable whose distribution is essentially the mixing distribution...

Apres avoir empiriquement mis en evidence l'instabilite des procedures CART de classification par arbre, nous presentons des methodes d'agregation de classificateurs obtenues a l'aide d'un reechantillonage de type bootstrap. Enfin, nous mettons en oeuvre ces procedures sur un probleme de...