The cyclicality of fiscal policy: New evidence from unobserved components approach

Omar Bashar (), Prasad Bhattacharya and Mark Wohar ()

Journal of Macroeconomics, 2017, vol. 53, issue C, 222-234

Abstract: This paper employs the multivariate version of the unobserved components model to reinvestigate the cyclicality of fiscal policy in eleven OECD countries. The novelty of the multivariate approach lies in its superior ability to disentangle the correlations in cycles from the correlations in slopes of the relevant variables while allowing for those correlations in the model. The results suggest that fiscal policy is mildly counter-cyclical in seven of the eleven countries analyzed which resonates with the standard Keynesian models. However, the slope (growth) of government consumption is found to be positively correlated with real GDP in these economies. There is no evidence of procyclical fiscal policies in any of these eleven industrial countries. The results remain robust when we use subsamples and an alternative fiscal policy variable.

Keywords: Fiscal policy; Cyclicality; Multivariate unobserved components model; OECD (search for similar items in EconPapers)
JEL-codes: C3 C5 E3 E6 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070417303208
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:jmacro:v:53:y:2017:i:c:p:222-234

DOI: 10.1016/j.jmacro.2017.07.010

Access Statistics for this article

Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos

More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().