Time-varying Fiscal Multipliers Identified by Systematic Component: A Bayesian Approach to TVP-SVAR model

Hirokuni Iiboshi, Yasuharu Iwata, Yuto Kajita and Naoto Soma

MPRA Paper from University Library of Munich, Germany

Abstract: Abstract This study estimates time varying fiscal multipliers from the aspect of fiscal policy rules derived from the systematic component along the line of “Agnostic Identification Procedure” proposed by Caldara and Kamps (2017) for the US economy between 1952:Q1-2018:Q1. To do so, we adopt time-varying parameter structural vector autoregressive (TVP-SVAR) with MCMC procedure by a Bayesian approach, and identify both of government spending and tax cut shocks using the zero and sign restrictions method proposed by Arias, Rubio-Ramirez and Waggoner (2018). And we compare those values with time varying version identified by standard sign restriction along the line of Mountford and Uhlig (2009). Our estimation reports that time-varying fiscal multipliers of output by government spending rule could be nearly double for one year but decline to unity after eight years, and seem to have been very stable for long terms such as sixty years. By contrast, those of tax cut rule are more fluctuate and negative for long run except the 1990’s.

Keywords: Bayesian estimation; time-varying-parameter Structual VAR; Sign and Zero Restrictions (search for similar items in EconPapers)
JEL-codes: C32 E32 E62 (search for similar items in EconPapers)
Date: 2019-03
New Economics Papers: this item is included in nep-ets and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/92631/1/MPRA_paper_92631.pdf original version (application/pdf)

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:pra:mprapa:92631

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().