From the help desk: Bootstrapped standard errors
AbstractBootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on random resampling. This article illustrates the bootstrap as an alternative method for estimating the standard errors when the theoretical calculation is complicated or not available in the current software. Copyright 2003 by Stata Corporation.
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Bibliographic InfoArticle provided by StataCorp LP in its journal Stata Journal.
Volume (Year): 3 (2003)
Issue (Month): 1 (March)
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- Birgitta Rabe, 2011. "Dual-earner migration. Earnings gains, employment and self-selection," Journal of Population Economics, Springer, vol. 24(2), pages 477-497, April.
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