EconPapers    
Economics at your fingertips  
 

Scenario discovery to address deep uncertainty in monetary policy

Chamon Wieles, Jan Kwakkel, Willem L. Auping and J.W. van den End

Journal of Economic Dynamics and Control, 2025, vol. 179, issue C

Abstract: We analyse shock and parameter uncertainty in a Dynamic Stochastic General Equilibrium (DSGE) model by exploratory modelling and analysis (EMA). This method evaluates in a novel way the performance of monetary policy under deep uncertainty about the shock and model parameters. Scenarios are designed based on the outcomes of interest for the policymaker. We assess the performance of different policies on their objectives in the scenarios. This maps out the policy trade-offs and supports the central bank in making robust policy decisions. We find that in response to a negative supply shock, policies with low interest rate smoothing and a strong response to inflation most obviously contribute to price stability under deep uncertainty.

Keywords: Monetary policy; Scenarios; Exploratory modelling; Deep uncertainty (search for similar items in EconPapers)
JEL-codes: E52 E58 G12 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165188925001344
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:dyncon:v:179:y:2025:i:c:s0165188925001344

DOI: 10.1016/j.jedc.2025.105168

Access Statistics for this article

Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok

More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-10-07
Handle: RePEc:eee:dyncon:v:179:y:2025:i:c:s0165188925001344