EconPapers    
Economics at your fingertips  
 

Growth effects of fiscal policies: an application of robust modified M-estimator

Carsten Colombier

Applied Economics, 2009, vol. 41, issue 7, 899-912

Abstract: In the field of economics only nonhigh-quality data is usually available, which can cause the widely used least square estimators (LSE) to be biased and inefficient. Therefore, the present study introduces the robust modified M-estimator (MME) proposed by Yohai et al. (1991). In the case of growth regressions with fiscal variables it can be shown that LSE is biased and inefficient, whereas MME is not. The robust regressions ascertain a stable positive growth effect of public infrastructure and education. Moreover, this study shows that government size has not been detrimental to growth for OECD countries in the past. No growth effects of taxation have been found so that endogenous growth theory is not corroborated in this regard. Consequently, fiscal policies aiming at promoting growth should focus on infrastructure and education.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (57)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840701736099 (text/html)
Access to full text is restricted to subscribers.

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:taf:applec:v:41:y:2009:i:7:p:899-912

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036840701736099

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-04-03
Handle: RePEc:taf:applec:v:41:y:2009:i:7:p:899-912