1,769 research outputs found
Présentation générale
No full textFontagné Lionel, Deissenberg Christophe. Présentation générale. In: Économie & prévision, n°128, 1997-2. L'intégration européenne : nouveaux enjeux. pp. 1-14
Présentation générale
No full textFontagné Lionel, Deissenberg Christophe. Présentation générale. In: Économie & prévision, n°128, 1997-2. L'intégration européenne : nouveaux enjeux. pp. 1-14
Dynamic Analysis in Complex Economic Environments. Essays in Honor of Christophe Deissenberg
No full textDawid H, Arifovic J, eds. Dynamic Analysis in Complex Economic Environments. Essays in Honor of Christophe Deissenberg. Dynamic Modeling and Econometrics in Economics and Finance. Vol 26. Cham: Springer ; 2021
Energy Shocks and Macroeconomic Stabilization Policies in an Agent-based Macro Model
No full textvan der Hoog S, Deissenberg C. Energy Shocks and Macroeconomic Stabilization Policies in an Agent-based Macro Model. In: Dawid H, Semmler W, eds. Computational Methods in Economic Dynamics. Dynamic Modeling and Econometrics in Economics and Finance. Vol 13. Berlin: Springer; 2011: 159-181.In this chapter we consider the effects of exogenous energy shocks on an agent-based macroeconomic system and study the out-of-equilibrium dynamics. We introduce automatic stabilizers that allow the artificial economy to absorbe the shocks.
Two types of macroeconomic stabilization policies are implemented: a consumer subsidy scheme that compensates households for their loss in purchasing power,
and a tax reduction scheme that affects both households and firms to support consumption and investments. Policy experiments are then carried out to evaluate the
effectiveness of these macroeconomic policies. Finally, we are able to distinguish between short- and long-term effects of the policy measures
Modelling Requirements for EURACE
No full textvan der Hoog S, Deissenberg C. Modelling Requirements for EURACE. Eurace Consortium; 2007
Modelling Specifications for EURACE
No full textvan der Hoog S, Deissenberg C. Modelling Specifications for EURACE. Eurace Consortium; 2007.This document contains the modelling specifications for the EURACE simulator
EURACE: A massively parallel agent-based model of the European economy
No full textDeissenberg C, van der Hoog S, Dawid H. EURACE: A massively parallel agent-based model of the European economy. Applied Mathematics and Computation. 2008;204(2):541-552.EURACE is a major European attempt to construct an agent-based model of the European economy with a very large population of autonomous, purposive agents interacting in a complicated economic environment. To create it, major advances are needed, in particular in terms of economic modeling and software engineering. In this paper, we describe the general structure of the economic model developed for EURACE and present the Flexible Large-scale Agent Modelling Environment (FLAME) that will be used to describe the agents and run the model on massively parallel supercomputers. Illustrative simulations with a simplified model based on EURACE's labor market module are presented. (C) 2008 Elsevier Inc. All rights reserved
Cheaptalk, gullibilty, and welfare in an enviromental taxation game
No full textDawid H, Deissenberg C, Sevcik P. Cheaptalk, gullibilty, and welfare in an enviromental taxation game. In: Haurie A, Zaccour G, eds. Dynamic Games: Theory and Applications. 2005: 175-192
Genetic Learning of Nash Equilibria in Illicit Drug Markets and Prerequisites for a Succssful Crackdown
No full textBehrens D, Dawid H. Genetic Learning of Nash Equilibria in Illicit Drug Markets and Prerequisites for a Succssful Crackdown. In: Barnett W, Deissenberg C, Feichtinger G, eds. Economic Complexity: Non-linear Dynamics, Multi-agent Economies, and Learning. Economic Complexity. Vol 14. Amsterdam/Elsevier: Elsevier, Amsterdam; 2004: 391-410
Learning Benevolent Leadership in a Heterogenous Agents Economy
No full textArifovic J, Dawid H, Deissenberg C, Kostyshyna O. Learning Benevolent Leadership in a Heterogenous Agents Economy. Journal of Economic Dynamics and Control. 2010;34(9):1768-1790.This paper studies the potential commitment value of cheap talk announcements in an agent-based dynamic extension of the Kydland-Prescott model. In every period, the policy maker makes a non-binding inflation announcement before setting the actual inflation rate. It updates its decisions using individual evolutionary learning. The private agents can choose between two different forecasting strategies: They can either set their forecast equal to the announcement or use an adaptive learning scheme to (potentially) forecast the true inflation. They switch between these two strategies as a function of information about the associated payoffs they obtain through word-of-mouth, choosing always the currently most favorable one. While all agents using the first strategy make the same forecast, those using the second strategy may generate different individual forecasts. In spite of the complexity of the environment, the boundedly rational policy maker learns to sustain a situation with a positive but fluctuating fraction of believers. This outcome is Pareto superior to the outcome predicted by standard theory. Interestingly enough, the actions taken by the policy maker undergo marked qualitative changes as a function of the prevailing heterogeneity among and learning characteristics of the private agent
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