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Re: st: Small sample


From   John Antonakis <John.Antonakis@unil.ch>
To   statalist@hsphsun2.harvard.edu
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.

HTH,
J.

____________________________________________________

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

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

e-mail: john.antonakis@unil.ch


____________________________________________________



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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