作者: Xavier Sala-i-Martin
DOI: 10.3386/W6252
关键词: Distribution (economics) 、 Econometrics 、 Mathematical economics 、 Ran 、 Economics 、 Variable (computer science)
摘要: In this paper I try to move away from the Extreme Bounds method ofidentifying ``robust'' empirical relations in economic growth literature.Instead of analyzing extreme bounds estimates coefficientof a particular variable, analyze entire distribution. My claimin is that, if we do this, picture emerging theempirical literature not pessimistic ``Nothing Robust''that get with bound analysis. Instead, find that asubstantial number variables can be found strongly relatedto growth.