This paper investigates the social preferences over labor market exibility, in a general equilibrium model of dynamic labor demand. We demonstrate that how the economy responds to productivity shocks depends on the power of labor to extract rents and on the status quo level of the firing cost....

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...

We develop a theory of endogenous regimes transitions (with a focus on democratic consolidation), which emphasizes the role of political culture and of its interaction with political institutions. Political culture re?flects the extent of individual commitment across citizens to defend democracy...

We develop a theory of endogenous political entrenchment in a simple two-party dy- namic model of income redistribution with probabilistic voting. A partially self-interested left-wing party may implement (entrenchment) policies reducing the income of its own constituency, the lower class, in...

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...

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...

We offer a rationale for elections that take place in the shadow of power. Factions unhappy with policy can threaten violence. But when they lack common knowledge about (i) one another's rationality, and (ii) their chances of victory at arms, mutual overconfidence can precipitate civil war. We...