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From the help desk: Bootstrapped standard errors


  • Weihua Guan

    (Stata Corporation)


Bootstrapping 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.

Suggested Citation

  • Weihua Guan, 2003. "From the help desk: Bootstrapped standard errors," Stata Journal, StataCorp LP, vol. 3(1), pages 71-80, March.
  • Handle: RePEc:tsj:stataj:v:3:y:2003:i:1:p:71-80

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    References listed on IDEAS

    1. Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
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    st0034; bootstrap; cluster; nl; instrumental variables;


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