Time-Series Evidence on the Nonlinearity Hypothesis for Public Spending
AbstractBarro-type endogenous growth models propose a nonmonotonic relationship between productive public spending and growth. Under this so-called nonlinearity hypothesis the size and direction of growth effects due to an increase in public spending depend on the share of public spending in GDP. Employing German time-series data we examine the validity of the nonlinearity hypothesis. We estimate growth effects by using models whose coefficients are allowed to vary with the share of public spending in GDP. Our results support the hypothesis for public consumption but not for public investment data. (JEL H54, E62, C22) Copyright 2003, Oxford University Press.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Western Economic Association International in its journal Economic Inquiry.
Volume (Year): 41 (2003)
Issue (Month): 4 (October)
Contact details of provider:
Postal: Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK
Fax: 01865 267 985
Web page: http://ei.oupjournals.org/
More information through EDIRC
Find related papers by JEL classification:
- H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
- E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Giorgio d'Agostino & Luca Pieroni & J Paul Dunne, 2009.
"Optimal Military Spending in the US: A Time Series Analysis,"
0903, University of the West of England, Department of Economics.
- d'Agostino, G. & Dunne, J.P. & Pieroni, L., 2011. "Optimal military spending in the US: A time series analysis," Economic Modelling, Elsevier, vol. 28(3), pages 1068-1077, May.
- Rajkumar, Andrew Sunil & Swaroop, Vinaya, 2008. "Public spending and outcomes: Does governance matter?," Journal of Development Economics, Elsevier, vol. 86(1), pages 96-111, April.
- Milad Zarin-Nejadan, 2011. "Government and Growth," IRENE Working Papers 11-02, IRENE Institute of Economic Research.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press) or (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.