Consumer choice, market concentration, and wealth distribution in connected and disconnected economic structures: an agent-based modeling approach

Doctoral Dissertation uoadl:3420443 13 Read counter

Unit:
Deparment of Economics
Library of the Faculty of Economics and of the Faculty of Business Administration
Deposit date:
2024-10-22
Year:
2024
Author:
Tsiatsios Georgios-Alkis
Dissertation committee:
Λεβεντίδης Ιωάννης , Καθηγητής, Τμήμα Οικονομικών Επιστημών, ΕΚΠΑ
Θεοχαράκης Νικόλαος, Καθηγητής, Τμήμα Οικονομικών Επιστημών, ΕΚΠΑ
Αργείτης Γεώργιος, Καθηγητής, Τμήμα Οικονομικών Επιστημών, ΕΚΠΑ
Κυριακοπούλου Δήμητρα, Επίκουρη Καθηγήτρια, Τμήμα Οικονομικών Επιστημών, ΕΚΠΑ
ΧριστόπουλοςΑπόστολος Γ. , Καθηγητής, Τμήμα Διοίκησης Επιχειρήσεων, Πανεπιστήμιο Αιγαίου
Ξανθόπουλος Στυλιανός, Αναπληρωτής Καθηγητής , Τμήμα Στατιστικής και Αναλογιστικών-Χρηματοοικονομικών Μαθηματικών, Πανεπιστήμιο Αιγαίου
Original Title:
Consumer choice, market concentration, and wealth distribution in connected and disconnected economic structures: an agent-based modeling approach
Languages:
English
Translated title:
Consumer choice, market concentration, and wealth distribution in connected and disconnected economic structures: an agent-based modeling approach
Summary:
This thesis employs agent-based models (ABMs) to investigate the dynamics of consumer
choice, market concentration, and capital distribution in artificial economies, aiming to
provide insights into the micro-level behavior and its influence on macro-level outcomes. We
depart from classical demand theory by incorporating heterogeneity among agents, bounded
rationality, and multiparametric demand functions, in contrast to the representative agent
framework. Through simulation-based approaches and incorporating various economic
theories and concepts, such as firm dynamics, central banking, price formation, and profit
maximization, we analyze the complex interactions between consumers, firms, and market
conditions. By studying economies with multiple commodities and agents heterogeneous in
terms of preferences and income, we derive relations of a dynamic nature and gain a deeper
understanding of how individual choices impact the overall system. Our findings contribute to
the literature on agent-based modeling in economics and offer valuable insights for
policymakers and researchers interested in understanding the complex dynamics of economic
systems.
Main subject category:
Social, Political and Economic sciences
Keywords:
consumer choice, networks, quantum random walks, uncertainty, consumer demand, agents based models, ABM, computational economy
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
225
Number of pages:
130
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