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Re: st: Small sample

From   John Antonakis <>
Subject   Re: st: Small sample
Date   Sat, 21 Mar 2009 10:41:53 +0100

The reviewer might be referring to non-parametric techniques which are more conservative (with small sample)--e.g., Mann-Whitney U test, Kruskal-Wallis, Wilcoxon Rank-Sum test, Quantile regression etc.

Bootstrap might also be useful. Also, the vce(robust) might be an option.



Prof. John Antonakis
Associate Dean
Faculty of Business and Economics
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny

Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305



On 21.03.2009 07:44, Apostolos Ballas wrote:
I am conducting a regression analysis. A reviewer of my paper found the
sample small (he /she was right numerically speaking but it is almost the
entire population) and suggested that I use small sample techniques. No
matter where I looked in standard econometrics textbooks there was no
reference. Any ideas please? Is bootstrap a possible answer?

Thanks in advance for your assistance.

Apostolos Ballas

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