We propose a flexible stochastic framework for modeling the market share dynamics over time in a multiple markets setting, where firms interact within and between markets. Firms undergo stochastic idiosyncratic shocks, which contract their shares, and compete to consolidate their position by...

Theoretical considerations suggest that workers holding temporary contracts should accumulate more general human capital than workers under permanent contracts. Using matched employer-employee data, we find empirical support for this hypothesis, by showing that dismissed temporary workers are...

This is the first analysis of determinants of the return to work of injured workers in an institutional setting where workers earnings are fully compensated during the disability spell. Employers carry the costs associated to the time off work; hence they could face an incentive to put pressure...

A key issue in increasing women’s participation in productive activities is the possibility of achieving a high work-life balance, both in terms of personal wellbeing and in terms of fair career prospects. The crucial event that challenges any level of work-life balance working women achieve...

Nell’ultimo decennio vi è stata una vasta diffusione di forme atipiche di lavoro. In questo contesto, nel nostro paese hanno visto larga diffusione i contratti di collaborazione coordinata e continuativa. Essi presentano tutti i requisiti per affiancare un più tradizionale rapporto a tempo...

This paper looks at short employment spells in three European countries: the UK, whose labour market is considered the most flexible in the EU; Italy, regarded as the least flexible; and Germany, tightly regulated, but characterised by a deservedly famous apprenticeship system. In particular, it...

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...

A Bayesian nonparametric methodology has been recently proposed in order to deal with the issue of prediction within species sampling problems. Such problems concern the evaluation, conditional on a sample of size n, of the species variety featured by an additional sample of size m. Genomic...

An important issue in survival analysis is the investigation and the modeling of hazard rates. Within a Bayesian nonparametric framework, a natural and popular approach is to model hazard rates as kernel mixtures with respect to a completely random measure. In this paper we provide a...

Bayesian nonparametric inference is a relatively young area of research and it has recently undergone a strong development. Most of its success can be explained by the considerable degree of flexibility it ensures in statistical modelling, if compared to parametric alternatives, and by the...