Tesi etd-06242022-103231 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
MASSACCESI, EDOARDO
URN
etd-06242022-103231
Titolo
An endogenous growth agent-based model fueled by an interconnected banking sector
Dipartimento
ECONOMIA E MANAGEMENT
Corso di studi
ECONOMICS
Relatori
relatore Prof. Fagiolo, Giorgio
Parole chiave
- agent-based
- banking sector
- growth
- interbank market
Data inizio appello
11/07/2022
Consultabilità
Non consultabile
Data di rilascio
11/07/2062
Riassunto
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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