Computational evidence on the distributive properties of monetary policy
Siyan Chen and
Saul Desiderio
Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), 2018, vol. 12, No 2018-62, 32 pages
Abstract:
Empirical studies have pointed out that monetary policy may significantly affect income and wealth inequality. To investigate the distributive properties of monetary policy the authors resort to an agent-based macroeconomic model where firms, households and one bank interact on the basis of limited information and adaptive rules-of-thumb. Simulations show that the model can replicate fairly well a number of stylized facts, especially those relative to the business cycle. The authors address the issue using three types of computational experiments, including a global sensitivity analysis carried out through a novel methodology which greatly reduces the computational burden of simulations. The result emerges that a more restrictive monetary policy increases inequality, even though this effect may differ across groups of households. In addition, it appears to be attenuated if the bank's willingness to lend is lower. The overall analysis suggests that inequality can constitute valuable information also for central banks.
Keywords: Economic inequality; monetary policy; agent-based models; NK-DSGE models; stock-flow consistency; global sensitivity analysis (search for similar items in EconPapers)
JEL-codes: C63 D31 D50 E52 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://dx.doi.org/10.5018/economics-ejournal.ja.2018-62
https://www.econstor.eu/bitstream/10419/183499/1/Economics_2018-62.pdf (application/pdf)
Related works:
Working Paper: Computational evidence on the distributive properties of monetary policy (2018) 
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:zbw:ifweej:201862
DOI: 10.5018/economics-ejournal.ja.2018-62
Access Statistics for this article
Economics - The Open-Access, Open-Assessment E-Journal (2007-2020) is currently edited by Dennis J. Snower
More articles in Economics - The Open-Access, Open-Assessment E-Journal (2007-2020) from Kiel Institute for the World Economy (IfW Kiel) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().