This paper explores a process which I denote as “young workforce disposal” (YWD). YWD reflects the fact that many young people enter the labor market as dependent employees, at some later time they are dismissed and (presumably) move into never-ending unemployment. Long term unemployment may...

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...

L'aggancio tra i dati WHIP e quelli del Casellario degli Attivi consente l'osservazione di tutti i percorsi lavorativi, non solo quelli coperti dai dati INPS (o WHIP). Questa procedura ha permesso di dare una parziale risposta ad una domanda che ci si pone quando si usano i dati WHIP, o di fonte...

In questo rapporto si presentano due informazioni sviluppate partendo dagli archivi degli episodi di lavoro dipendente di WHIP (archivi RL_annui_): gli oneri sociali obbligatori (variabile oneri_sociali) e il costo del lavoro (variabile costo_lavoro). Le stime degli oneri sociali obbligatori e...

This paper is about very long term unemployment (a more appropriate denomination could be "out-of-official-employment") in Italy, its concentration and the process of young worker disposal, an important, yet unexplored, determinant. “Very long” is not just “long”: we are dealing with...

This paper explores the “disposable” patterns of workforce utilization in Italy. The term “disposable” reflects the fact that people enter the labor market, their services are “used” as a disposable commodity for few years, after which they leave the labor market and are no longer...

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...