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From the help desk: Some bootstrapping techniques

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Author Info

  • Brian P. Poi

    (StataCorp LP)

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    Abstract

    Bootstrapping techniques have become increasingly popular in applied econometrics and other areas. This article presents several methods and shows how to implement them using Stata's bootstrap command. Copyright 2004 by StataCorp LP.

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    Bibliographic Info

    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 4 (2004)
    Issue (Month): 3 (September)
    Pages: 312-328

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    Handle: RePEc:tsj:stataj:v:4:y:2004:i:3:p:312-328

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    Related research

    Keywords: bssize initial; bssize refine; bssize analyze; bssize cleanup; bootstrap; confidence intervals; percentile-t; dependent processes;

    References

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    1. Weihua Guan, 2003. "From the help desk: Bootstrapped standard errors," Stata Journal, StataCorp LP, vol. 3(1), pages 71-80, March.
    2. Donald W. K. Andrews & Moshe Buchinsky, 2000. "A Three-Step Method for Choosing the Number of Bootstrap Repetitions," Econometrica, Econometric Society, vol. 68(1), pages 23-52, January.
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    Citations

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    Cited by:
    1. Martorana, Marco F. & Mazza, Isidoro, 2012. "Adaptive voting: an empirical analysis of participation and choice," MPRA Paper 36165, University Library of Munich, Germany.
    2. Martorana, Marco & Mazza, Isidoro, 2010. "Satisfaction and adaptation in voting behavior: an empirical exploration," DEMQ Working Paper Series 2010/6, University of Catania, Department of Economics and Quantitative Methods.
    3. Etilé, F, 2008. "Food Price Policies and the Distribution of Body Mass Index: Theory and Empirical Evidence from France," Health, Econometrics and Data Group (HEDG) Working Papers 08/10, HEDG, c/o Department of Economics, University of York.
    4. Fabrice Etilé, 2009. "Food price policies and the distribution of body mass index: Theory and empirical evidence from France," Working Papers halshs-00586720, HAL.

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