Options
Redistribution, Social Segregation and Voting Information
Mayerhoffer, Daniel; Schulz-Gebhard, Jan (2023): Redistribution, Social Segregation and Voting Information, in: Daniel Mayerhoffer und Jan Schulz-Gebhard (Hrsg.), Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022) co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022), Aachen, Germany: RWTH Aachen.
Author:
Title of the compilation:
Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022) co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022)
ISSN:
1613-0073
Conference:
2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022) co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022)
Publisher Information:
Year of publication:
2023
Pages:
Series ; Volume:
CEUR Workshop Proceedings ; 3420
Language:
English
Abstract:
This paper examines the puzzle of why economic inequality has not resulted in political countermeasures to mitigate it, and proposes that the reason is due to misperceptions of economic inequality caused by segregation in social networks. We model taxation and voting behavior with an exponential income distribution and a Random Geometric Graph-type model to represent homophily, which leads to people perceiving their own income rank and income to be close to the middle. We find that people base their beliefs about mean income on a weighted sum of the true mean and their local perception in the network, and that higher homophily causes lower implemented tax rates, which explains why redistribution preferences appear decoupled from actual inequality. We suggest two measures to counteract this: educating people about the actual income distribution and promoting diversity to reduce homophily.
GND Keywords: ; ; ;
Soziale Ungleichheit
Wahrnehmung
Einkommensverteilung
Einkommensumverteilung
Keywords: ; ; ;
inequality
redistribution
bias
networks
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
Activation date:
June 21, 2023
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/59827