This paper investigates the effects of public childcare availability in Italy on mothers' working status and children's scholastic achievements. We use a newly available dataset containing individual standardized test scores of pupils attending second grade of primary school in 2008-09 in...

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...

Our study analyses the costs and benefits of early child care for mothers’ labour supply and child development in Italy, exploring the role of the selection criteria used by local governments to assign child care slots. In Italy, only around 13% of the demand for public child care...

There is some controversy in the field of household economics regarding the efficiency of household decisions. We make the point that a flexible specification of spousal preferences and the household production technology precludes the possibility of using revealed preference data on household...

While a large literature has focused on the impact of parental investments on child cognitive development, very little is known about the role of child?s own in- vestments. Information on how children invest their time separately from parents is probably little informative for babies and...

In this paper we utilize a model of household investments in the cognitive development of children to explore the impact of various transfer policies on the distribution of child cognitive outcomes in target populations. We develop a cost criterion that can be used to compare the cost...

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...

In spite of relevant differences between countries, a common international pattern emerges: daughters leave parental homes earlier than sons. Drawing upon the European Community Household Panel, we explore the impacts of various factors that affect daughters' and sons' home-leaving decisions....

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...