首页 | 本学科首页   官方微博 | 高级检索  
     


Determinants of long-term growth: New results applying robust estimation and extreme bounds analysis
Authors:Jan- Egbert Sturm  Jakob de Haan
Affiliation:(1) KOF - Swiss Institute for Business Cycle Research, Zurich, Switzerland;(2) ETH - Swiss Federal Institute of Technology, Zurich, Switzerland;(3) TWI - Thurgau Institute of Economics, Krenzlingen, Switzerland;(4) Konstanz and CESifo, University of Konstanz, Munich, Germany;(5) Faculty of Economics, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands;(6) CESifo, Munich, Germany
Abstract:Two important problems exist in cross-country growth studies: outliers and model uncertainty. Employing Sala-i-Martin’s (1997a,b) data set, we first use robust estimation and analyze to what extent outliers influence OLS regressions. We then use both OLS and robust estimation techniques in applying the Extreme Bounds Analysis (EBA) to deal with the problem of model uncertainty. We find that the use of robust estimation affects the list of variables that are significant determinants of economic growth. Also the magnitude of the impact of these variables differs sometimes under the various approaches.First version received: March 2003 / Final version received: June 2004We like to thank two referees for their very helpful comments on a previous version of this paper. The usual disclaimer applies.
Keywords:Sensitivity analysis  outliers  economic growth  robust estimation
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号