Is policy causing chaos in the United Kingdom?
William Barnett,
Giovanni Bella,
Taniya Ghosh,
Paolo Mattana and
Beatrice Venturi
Economic Modelling, 2022, vol. 108, issue C
Abstract:
We study the stability properties and conditions for the onset of Shilnikov chaos in the UK New Keynesian macroeconomy, as well as the shifts in equilibrium dynamics under various policy regimes. Shilnikov chaos emerges for a restricted part of the free parameter space in the baseline rational expectations UK model with no regime switching. Chaos did not occur, when the UK's central bank showed a weak response to inflation in the high-inflation regime, while it appears easily in the low-inflation regime associated with the central bank's use of aggressive monetary policy in recent years. As a policy alternative for restoring uniqueness, the local analysis proposes tightening the monetary policy rule via the Taylor coefficient along with passive fiscal policy. But we find that doing so could hasten the emergence of Shilnikov's chaotic dynamics. The magnitude of the Taylor coefficient thus becomes central in attaining the desired long run steady-state.
Keywords: Shilnikov chaos; Liquidity trap; New keynesian; Taylor principle; Monetary policy; Inflation (search for similar items in EconPapers)
JEL-codes: C61 C62 E12 E52 E63 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S026499932200013X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:108:y:2022:i:c:s026499932200013x
DOI: 10.1016/j.econmod.2022.105767
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().