The effects of government spending under anticipation: the noncausal VAR approach
MPRA Paper from University Library of Munich, Germany
Fiscal foresight, economic agents receiving information about future fiscal policy, affects the consistency of results about the causal effects of government spending. This study explores the propagation of government spending shocks using a noncausal VAR model that allows for anticipation of exogenous fiscal policy changes. Overcoming the issue of insufficient information, the government spending shock is extracted from an anticipated error term by using institutional information about the conduct of fiscal policy. In addition, the approach nests the conventional causal structural VAR as a special case. In the U.S. economy, the identified spending shock comoves with defence expenditures. The shock increases consumption, employment and output one and a half years prior to its materialisation in government spending. After the shock arrives, real wages respond positively while investment turns negative. The estimated fiscal multiplier is close to unity.
Keywords: Government spending; Fiscal foresight; Nonfundamentalness; Noncausal VAR; Structural VAR (search for similar items in EconPapers)
JEL-codes: C18 C32 E32 E62 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/81303/1/MPRA_paper_81303.pdf original version (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:81303
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 ().