The Fiscal Cost of Financial Instability
Carl Chiarella and
Corrado Di Guilmi
Studies in Nonlinear Dynamics & Econometrics, 2012, vol. 16, issue 4, 29
Abstract:
This paper presents an agent based model that investigates the possible outcomes of different fiscal and regulatory policies in a financially fragile economy. We analyse the consequences of the attempt by the government to counteract a downturn when it ignores the debt dynamics as modelled by Fisher and Minsky. In particular, we formulate an educated guess about the burden that the government and the taxpayer must bear when a bubble bursts, and its relationship with the extent of government intervention and the taxation system. We also evaluate the outcomes of possible alternatives or complementary regulatory policies. We model four different scenarios treating separately a tax on profits and a tax on private wealth and, for both of them, we specify two cases depending on whether the financial system is able to autonomously generate liquidity. Therefore, we can assess the effect of endogenous money and endogenous credit on the different stabilization policies.
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://doi.org/10.1515/1558-3708.1970 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:sndecm:v:16:y:2012:i:4:n:3
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/snde/html
DOI: 10.1515/1558-3708.1970
Access Statistics for this article
Studies in Nonlinear Dynamics & Econometrics is currently edited by Bruce Mizrach
More articles in Studies in Nonlinear Dynamics & Econometrics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().