Fiscal policy, debt constraint and expectations-driven volatility
Kazuo Nishimura,
Thomas Seegmuller and
Alain Venditti
Journal of Mathematical Economics, 2015, vol. 61, issue C, 305-316
Abstract:
Imposing some constraints on public debt is often justified regarding sustainability and stability issues. This is especially the case when the ratio of public debt over GDP is restricted to be constant. Using a Ramsey model, we show that such a constraint can however be a fundamental source of indeterminacy, and therefore, of expectations-driven fluctuations. Indeed, through the intertemporal budget constraint of the government, income taxation negatively depends on future debt, i.e. on the expected level of production. This mechanism ensures that expectations on the future tax rate may be self-fulfilling. We show that this is promoted by a larger ratio of debt over GDP.
Keywords: Indeterminacy; Endogenous cycles; Public debt; Income taxation (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304406815001111
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Fiscal policy, debt constraint and expectations-driven volatility (2015)
Working Paper: Fiscal Policy, Debt Constraint and Expectation-Driven Volatility (2014) 
Working Paper: Fiscal Policy, Debt Constraint and Expectation-Driven Volatility (2014) 
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:mateco:v:61:y:2015:i:c:p:305-316
DOI: 10.1016/j.jmateco.2015.09.003
Access Statistics for this article
Journal of Mathematical Economics is currently edited by Atsushi (A.) Kajii
More articles in Journal of Mathematical Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().