The aim of this paper is to describe a method to introduce empirical data in agent based models. Starting from the econometric and calibration literature, it is shown how to select the values of the parameters in the model and which conditions has to be met to have consistent estimations. A...

What is the relationship, if any, between Experimental Economics and Agent-based Computational Economics? Experimental Economics (EXP) investigates individual behaviour (and the emergence of aggregate regularities) by means of human subject experiments. Agent-based Computational Economics (ACE),...

We define and investigate a new class of measure-valued Markov chains by resorting to ideas formulated in Bayesian nonparametrics related to the Dirichlet process and the Gibbs sampler. Dependent random probability measures in this class are shown to be stationary and ergodic with respect to the...

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...

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...

A random distribution function on the positive real line which belongs to the class of neutral to the right priors is defined. It corresponds to the superposition of independent beta processes at the cumulative hazard level. The definition is constructive and starts with a discrete time process...

This paper presents a non-equilibrium, agent-based model of workers and firms, with on-the-job searching, endogenous entrepreneurial decisions and endogenous wage and income determination. Workers and firms are heterogeneous, and learn their strategy in the labor market. The model is able to...

An urn-ball probabilistic model of the labour market is developed. Agents can be employed, (voluntary or involuntary) unemployed or entrepreneurs. The analytical long run equilibrium probabilities for each state and the matching function are derived. Then, the out-of-equilibrium dynamics are...

Multiplicative models of firm dynamics ‘à la Gibrat’ have become a standard reference in industrial organization. However, some unpleasant properties of their implied dynamics – namely, their explosive or implosive behaviour (firm size and number collapsing to zero or increasing...

In this paper I review the main strengths and weaknesses of agent-based computational models. In particular I rationalise the main theoretical critiques, which point to the following problematic areas: (i) interpretation of the simulation dynamics, (ii) estimation of the simulation model, and...