Fiscal sustainability and regime shifts in Japan
Jun-Hyung Ko and
Hiroshi Morita
Economic Modelling, 2015, vol. 46, issue C, 364-375
Abstract:
This paper examines fiscal sustainability conditions in the Japanese economy estimating a Markov-switching vector autoregressive (VAR) model. Three fiscal sustainability conditions are identified in one VAR model: the stance of government, Domar (1944)-type GDP growth, and other factors. The main findings are summarized as follows. First, a regime switch occurred in the early 1990s. In the first regime, it appears that the government adopted the Ricardian stance to past debt levels, while such fiscal reactions are not observed in the second regime. Furthermore, only in the second regime, Domar (1944)-type income growth significantly decreases the debt–GDP ratio. Second, however, the contributions of these two shocks are minor in explaining historical variances of the debt–GDP ratio in both regimes. Third, forecast simulations reveal that the debt–GDP ratio is not sustainable in the second regime. Fourth, counterfactual simulations show that around 2 percent nominal growth or a Ricardian fiscal stance can keep the debt–GDP ratio sustainable.
Keywords: Debt–GDP ratio; Fiscal sustainability; Ricardian regime; Dynamic inefficiency; Markov-switching VAR (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999315000255
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:46:y:2015:i:c:p:364-375
DOI: 10.1016/j.econmod.2015.02.008
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 ().