This paper presents a sequential model suited to analyze transitions between equilibria. Disequilibrium dynamics are obtained from a standard monopolistic competition model, by introducing a sequential structure and reasonable hypotheses about technology, finance constraints, expectation...

This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner’s Dilemma type game, and must also learn to map environmental signals to demand parameters and to its rival’s willingness to cooperate. We study the...

We study the dynamics of firm size in a repeated Cournot game with unkown demand function.We model the firm as a type of artificial neural network. Each period it must learn to map environmental signals to both demand parameters and its rival’s output choice. But this learning game is in the...

This paper contributes to the debate on fiscal governance for the European Monetary Union, assessing the different fiscal rules currently discussed. We simulate a small scale macroeconomic model with forward looking agents, augmented with a public finances block. We account for both the positive...

This paper presents the family of the Keynes+Schumpeter (K+S, cf. Dosi et al, 2010, 2013, 2014) evolutionary agent-based models, which study the effects of a rich ensemble of innovation, industrial dynamics and macroeconomic policies on the long-term growth and short-run fluctuations of the...

An algorithm for computing Dynamic Nash Equilibria (DNE) in an extended version of Kiyotaki and Wright (1989) (hereafter KW) is proposed. The algorithm computes the equilibrium pro.le of (pure) strategies and the evolution of the distribution of three types of assets across three types of...

We build an agent-based model to study how fiscal multipliers can change over the business cycle. Our approach considers the economy as a complex evolving system. In that, fiscal state-dependent multipliers are emergent disequilibrium phenomenon stemming from the interaction among an ecology of...

We build an agent-based model to study how _scal multipliers can change over the business cycle. Our approach considers the economy as a complex evolving system. In that, _scal state-dependent multipliers are emergent disequilibrium phenomenon stemming from the interaction among an ecology of...

This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner’s Dilemma type game, but must also learn to map environmental signals to demand parameters and to its rival’s willingness to cooperate. We study the...

A new algorithm is developed to solve models with heterogeneous agents and aggregate uncertainty that avoids some disadvantages of the prevailing algorithm that strongly relies on simulation techniques and is easier to implement than existing algorithms. A key aspect of the algorithm is a new...