This paper investigates the performances of an inflation targeting regime in a learning economy whose functioning is tackled via an Agent-Based Model (ABM). While the structure of our ABM has features in common with those of the New Keynesian canonical modelling framework, we model the...

Extensive exploration of simulation models comes at a high computational cost, all the more when the model involves a lot of parameters. Economists usually rely on random explorations, such as Monte Carlo simulations, and basic econometric modeling to approximate the properties of computational...

In this paper, we make an exploratory use of computational techniques (genetic algorithms and Monte Carlo simulations) to compute efficient and emergent networks in a spatialized version of the connections model of Jackson and Wolinski (1996). This approach allows us to observe and discuss...

This article develops an evolutionary model of industry dynamics in order to carry out a richer theoretical analysis of the consequences of a stronger patent system. The first results obtained in our article are rather consistent with the anti-patent arguments and they do not favour the case for...

We study learning in the Kydland and Prescott environment. Our policy maker evaluates its potential strategies regarding the announced and the actual inflation rate using its mental model. This model is forward looking and adaptive at the same time. There are two types of agents: Believers who...

This article analyses the ability of the learning firms in a Cournot oligopoly to discover market solutions more collusive that the Cournot equilibrium (CE). We start from the results of Vallée and Yildizoglu (2009) and of Alos-Ferrer (2004), and qualify the role of random experimenting, social...

This article questions the rather pessimistic conclusions of Allen et Carroll (2001) about the ability of consumer to learn the optimal buffer-stock based consumption rule. To this aim, we develop an agent based model where alternative learning schemes can be compared in terms of the consumption...

In this paper we address the issue of how transmission uncertainty could affect the choice between a federal monetary policy based on national data and one on aggregated data.We find that the uncertainty about the transmission process increases the need to take into account information about...

In this paper we address the issue of how parameter uncertainty affects the optimal degree of central bank conservatism.The analysis is conducted in the standard macroeconomic model of a monetary policy game embedding an expectational Phillips-curve. Multiplicative "Brainard" uncertainty is...

This paper tries to assess the proximity of the macroeconomic outcomes which could arise from a monetary policymaking process based upon either a robust control or a Bayesian (à la Brainard) approach towards parameter uncertainty. We use a small, structural, backward-looking, aggregate model of...