Optimal monetary policy and Phillips curves: the ECB targets in a complex scenario

Russo, Filippo (A.A. 2022/2023) Optimal monetary policy and Phillips curves: the ECB targets in a complex scenario. Tesi di Laurea in Macroeconomia e politica economica, Luiss Guido Carli, relatore Alberto Cagnazzo, pp. 45. [Bachelor's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (746kB) | Preview

Abstract/Index

Literature review. Optimal monetary policy and right accompanying institutional tools to avoid economic doom loops. The measures of adaptation to the complexity. How to measure the success of the Eurosystem in adapting to the complexity. How the analysis is carried out in the present work. The pitfalls in the 20th century European monetary systems. The reasons national credit institutes were born are much different from their current mission. The zero-sum effects in interrelated systems: need for symmetry and coordination. The incapacity of countries such as Italy and France to tackle inflation before the birth of EMU: too many goals with few instruments. How ECB's role has been carried out throughout the last 20 years. The lack of coherency in the macroeconomics of the Eurozone, born as a weak currency area. The lack of coherence as an institutional problem. Not all stages are a smooth consequence of the previous, the adaptation to complexity is tough and has a spiral way. How to prove the symbiotic adaptation to the complexity. Data observation. Estimation of the Phillips curve slope. Data interpretation.

References

Bibliografia: pp. 41-44.

Thesis Type: Bachelor's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Management (L-18)
Chair: Macroeconomia e politica economica
Thesis Supervisor: Cagnazzo, Alberto
Academic Year: 2022/2023
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 26 Oct 2023 13:24
Last Modified: 26 Oct 2023 13:24
URI: https://tesi.luiss.it/id/eprint/36755

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item