Multi-Agent-Based Macroeconomic Modelling

Macroeconomic modelling emerged at the end of the 20th century and by the first decade of the 21st century it had been widely accepted. However, the financial crisis of 2007 followed by the real economy crisis exposed the weaknesses of dynamic stochastic general equilibrium models (DSGE) and agent-b...

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Main Author: Sándor Karajz
Format: Article
Language:English
Published: University of Miskolc 2019-11-01
Series:Theory, Methodology, Practice
Subjects:
Online Access:https://doi.org/10.18096/TMP.2019.01.02
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author Sándor Karajz
author_facet Sándor Karajz
author_sort Sándor Karajz
collection DOAJ
description Macroeconomic modelling emerged at the end of the 20th century and by the first decade of the 21st century it had been widely accepted. However, the financial crisis of 2007 followed by the real economy crisis exposed the weaknesses of dynamic stochastic general equilibrium models (DSGE) and agent-based models became favoured. Agent-based models – better reflecting reality– assume that individuals are capable of learning from past experiences. In economics, aggregation is considered to be fundamental in the analysis of macroeconomic processes, leading to question such as: How can processes describing macroeconomics and related indicators be obtained from results generated from decisions made at a microeconomic level? Is the applied method appropriate? Are synergy possibilities considered? This study attempts to provide answers to these questions.
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spelling doaj.art-7f44fb4b02f649d1ba16ab5ce0ac92502023-05-25T13:11:52ZengUniversity of MiskolcTheory, Methodology, Practice1589-34132415-98832019-11-011511924Multi-Agent-Based Macroeconomic Modelling Sándor Karajz 0University of Miskolc Macroeconomic modelling emerged at the end of the 20th century and by the first decade of the 21st century it had been widely accepted. However, the financial crisis of 2007 followed by the real economy crisis exposed the weaknesses of dynamic stochastic general equilibrium models (DSGE) and agent-based models became favoured. Agent-based models – better reflecting reality– assume that individuals are capable of learning from past experiences. In economics, aggregation is considered to be fundamental in the analysis of macroeconomic processes, leading to question such as: How can processes describing macroeconomics and related indicators be obtained from results generated from decisions made at a microeconomic level? Is the applied method appropriate? Are synergy possibilities considered? This study attempts to provide answers to these questions.https://doi.org/10.18096/TMP.2019.01.02 multi-agent-based modelsdynamic stochastic general equilibrium modelsfactors of aggregate demandfactors of aggregate supply
spellingShingle Sándor Karajz
Multi-Agent-Based Macroeconomic Modelling
Theory, Methodology, Practice
multi-agent-based models
dynamic stochastic general equilibrium models
factors of aggregate demand
factors of aggregate supply
title Multi-Agent-Based Macroeconomic Modelling
title_full Multi-Agent-Based Macroeconomic Modelling
title_fullStr Multi-Agent-Based Macroeconomic Modelling
title_full_unstemmed Multi-Agent-Based Macroeconomic Modelling
title_short Multi-Agent-Based Macroeconomic Modelling
title_sort multi agent based macroeconomic modelling
topic multi-agent-based models
dynamic stochastic general equilibrium models
factors of aggregate demand
factors of aggregate supply
url https://doi.org/10.18096/TMP.2019.01.02
work_keys_str_mv AT sandorkarajz multiagentbasedmacroeconomicmodelling