EconPapers    
Economics at your fingertips  
 

On the Measurement of the Government Spending Multiplier in the United States An ARDL Cointegration Approach

Esmaeil Ebadi

MPRA Paper from University Library of Munich, Germany

Abstract: This paper applies annual data from 1962 to 2011 to investigate the long run relationship between government spending and Gross Domestic Product (GDP) based on Barro’s (1990) government spending model. The common approach only considers defense government spending to estimate the multiplier to overcome the identification problem and endogeneity in isolating the effect of changes in government spending on GDP. I use the Autoregressive Distributed Lag (ARDL) approach to cointegration, which works despite having endogenous regressors to estimate the spending multiplier. The results confirm that government spending can be treated as a ‘long-run forcing’ variable for the explanation of real GDP and the long-run multiplier is found to be 1.94.

Keywords: Government Spending; Spending Multiplier; Cointegration; ARDL Approach (search for similar items in EconPapers)
JEL-codes: E62 (search for similar items in EconPapers)
Date: 2018-03-22
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/85459/1/MPRA_paper_85459.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:85459

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 ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:85459