Thesis etd-06242022-103231 |
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Thesis type
Tesi di laurea magistrale
Author
MASSACCESI, EDOARDO
URN
etd-06242022-103231
Thesis title
An endogenous growth agent-based model fueled by an interconnected banking sector
Department
ECONOMIA E MANAGEMENT
Course of study
ECONOMICS
Supervisors
relatore Prof. Fagiolo, Giorgio
Keywords
- agent-based
- banking sector
- growth
- interbank market
Graduation session start date
11/07/2022
Availability
Withheld
Release date
11/07/2062
Summary
We use our Python-programmed replication of Fagiolo et al. (2020) to reproduce main results of this agent-based model (ABM). Then, we expand it by adding an interbank market. In particular, we allow banks to prevent liquidity shortages by establishing lending relationships with each other. In this way, the banking system becomes more efficient: banks do not run out of liquidity, and overall loans to real sector increase, allowing higher investments in innovation and technological imitation. This can favor economic growth. However, we find that interconnections among banks increase output growth rates volatility.
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