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| From | John Antonakis <John.Antonakis@unil.ch> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: Bias: Monte Carlo |
| Date | Mon, 06 May 2013 09:49:07 +0200 |
Hi:I am running some Monte Carlos where I am interested in observing the bias in parameter estimates across manipulated conditions. By bias I mean the absolute percentage difference of the simulated value from the true value.
I was wondering whether there has been another written about how much bias is "acceptable"--I know that this is like asking how long is a piece of string and that there is no statistical fiat that can give a definitive answer, because it also is a very field specific issue. I guess in physics or social sciences we would be willing to put up with different degrees of bias.
What I am looking for what is an commonly acceptable limit in social sciences (and econometrics) in particular. Does anyone know of any references in this regard? I am looking at setting the boundary of "acceptable bias" at about 20%--would that be too high? I welcome any thoughts.
Best, J. -- __________________________________________ John Antonakis Professor of Organizational Behavior Director, Ph.D. Program in Management 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 http://www.hec.unil.ch/people/jantonakis Associate Editor The Leadership Quarterly __________________________________________ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/