Artikel

Optimal inflation target: Insights from an agent-based model

Which level of inflation should Central Banks be targeting? The authors investigate this issue in the context of a simplified Agent Based Model of the economy. Depending on the value of the parameters that describe the behaviour of agents (in particular inflation anticipations), they find a rich variety of behaviour at the macro-level. Without any active monetary policy, our ABM economy can be in a high inflation/high output state, or in a low inflation/low output state. Hyper-inflation, deflation and 'business cycles' between coexisting states are also found. The authors then introduce a Central Bank with a Taylor rule-based inflation target, and study the resulting aggregate variables. The main result is that too-low inflation targets are in general detrimental to a CB-monitored economy. One symptom is a persistent under-realization of inflation, perhaps similar to the current macroeconomic situation. Higher inflation targets are found to improve both unemployment and negative interest rate episodes. The results are compared with the predictions of the standard DSGE model.

Sprache
Englisch

Erschienen in
Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 12 ; Year: 2018 ; Issue: 2018-15 ; Pages: 1-27 ; Kiel: Kiel Institute for the World Economy (IfW)

Klassifikation
Wirtschaft
Price Level; Inflation; Deflation
Business Fluctuations; Cycles
Monetary Policy
Thema
Agent based models
monetary policy
inflation target
Taylor rule

Ereignis
Geistige Schöpfung
(wer)
Bouchaud, Jean-Philippe
Gualdi, Stanislao
Tarzia, Marco
Zamponi, Francesco
Ereignis
Veröffentlichung
(wer)
Kiel Institute for the World Economy (IfW)
(wo)
Kiel
(wann)
2018

DOI
doi:10.5018/economics-ejournal.ja.2018-15
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Bouchaud, Jean-Philippe
  • Gualdi, Stanislao
  • Tarzia, Marco
  • Zamponi, Francesco
  • Kiel Institute for the World Economy (IfW)

Entstanden

  • 2018

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