The study of properties of mean functionals of random probability measures is an important area of research in the theory of Bayesian nonparametric statistics. Many results are known by now for random Dirichlet means but little is known, especially in terms of posterior distributions, for...

The paper proposes a new nonparametric prior for two-dimensional vectors of survival functions (S1,S2). The definition we introduce is based on the notion of Lévy copula and it will be used to model, in a nonparametric Bayesian framework, two-sample survival data. Such an application will yield...

The present paper provides a review of the results concerning distributional properties of means of random probability measures. Our interest in this topic has originated from inferential problems in Bayesian Nonparametrics. Nonetheless, it is worth noting that these random quantities play an...

The CFL programme has been introduced in 1985 to improve the youths occupational chances. It provides the employers some incentive to recruit young workers by reducing both the labour and the firing costs relative to those they would bear by recruiting older workers. Following the literature,...

The availability of a flexible labour force might influence adjustment decisions regarding the rigid part of the labour force. To test this idea, we contrast the use of trainees (fixed-term contracts) and normal-contract workers (open-end contracts) when a reform made it more costly to use...

This paper investigates the role that idiosyncratic uncertainty plays in shaping social preferences over the degree of labor market flexibility, in a general equilibrium model of dynamic labor demand where the productivity of firms evolves over time as a Geometric Brownian motion. A key result...

Labor market reforms increasing flexibility at the margin have been recently paying out in terms of employment growth. This paper argues that two-tier labor market reforms have a transitional honeymoon, job creating effect. In a dynamic model of labor demand under uncertainty, the paper predicts...