Monetary Policy with Non-Separable Government Spending
Haytem Troug
MPRA Paper from University Library of Munich, Germany
Abstract:
The significant role of government consumption in affecting economic conditions raises the necessity for monetary policy to take into account the behaviour of fiscal policy and to also take into account how the presence of the fiscal sector might affect the transmission mechanism of monetary policy in the economy. To test for this, we build an otherwise standard New Keynesian model that incorporates non-separable government consumption. The simulations of the model show that when government consumption has a crowding in effect on private consumption, it will dampen the transmission mechanism of monetary policy, and vice versa. The empirical estimations of the paper also support the theoretical findings of the model, as the panel regression show that, in OECD countries, government consumption dampens the effect of the policy rate on private consumption. These results are robust to the zero lower bound era.
Keywords: New Keynesian Models; Business Cycle; Monetary Policy; Joint Analysis of Fiscal and Monetary Policy. (search for similar items in EconPapers)
JEL-codes: E12 E32 E52 E63 (search for similar items in EconPapers)
Date: 2019-02-22
New Economics Papers: this item is included in nep-cba, nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/92323/1/MPRA_paper_92323.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:92323
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 ().