This paper deals with the problem of analyzing the behavior of an agent-based (AB) model.

We present JAS 2, a new Java platform which aims at providing a unique simulation tool for discrete-event simulations, including agent-based and dynamic microsimulation models. JAS 2 is not released as a self-contained stand-alone application for model development. With the aim to develop...

Agent-based (AB) models are considered a promising tool for macroeconomic analysis. However, until estimation of AB models become a common practice, they will not get to the center stage of macroeconomics. Two difficulties arise in the estimation of AB models: (i) the criterion function has no...

We test whether labor flexibility acts as a substitute to delocalization. Using Italian survey data, we show that a higher share of temporary workers appears to reduce the likelihood of future offshoring. However, once reverse causality and spurious correlation are controlled for with IV...

Dynamic microsimulation modeling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We show...

We review the literature on agent-based labor market models by tracing its roots to the microsimulation literature, and surveying a selection of contributions made since the work by Bergmann (1974) and Eliasson (1976). Agent-based models have been applied to explain stylized facts of labor...

Stigma has been modeled in the literature as a cost of welfare participation, providing a disincentive to welfare entry; hence, traditional models predict that stigma leads to higher search effort and higher employment. We develop a more comprehensive model that accounts for the fact that...

We test whether labor flexibility acts as a substitute to delocalization. Using Italian survey data, we show that a higher share of temporary workers appears to reduce the likelihood of future offshoring. However, once reverse causality and spurious correlation are controlled for with IV...

Forecasting based on random intercepts models requires imputation of the individual permanent effects to the simulated individuals. When these individuals enter the simulation with a history of past outcomes this involves sampling from conditional distributions, which might be unfeasible. I...