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From the help desk: Some bootstrapping techniques

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  • Brian P. Poi

    (StataCorp LP)

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.

Suggested Citation

  • Brian P. Poi, 2004. "From the help desk: Some bootstrapping techniques," Stata Journal, StataCorp LP, vol. 4(3), pages 312-328, September.
    • Handle: RePEc:tsj:stataj:v:4:y:2004:i:3:p:312-328
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    References listed on IDEAS

    as
    1. Weihua Guan, 2003. "From the help desk: Bootstrapped standard errors," Stata Journal, StataCorp LP, vol. 3(1), pages 71-80, March.
    2. Russell Davidson & James MacKinnon, 2000. "Bootstrap tests: how many bootstraps?," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 55-68.
    3. Jeremy Berkowitz & Lutz Kilian, 2000. "Recent developments in bootstrapping time series," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 1-48.
    4. 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. 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.
    2. Friesenbichler, Klaus, 2018. "Inflation and Broadband Revisited: Evidence from an OECD Panel. A replication study of Yi and Choi (Journal of Policy Modeling, 2005)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 2(2018-1), pages 1-21.
    3. Gregory L. Rosston & Scott J. Savage & Bradley S. Wimmer, 2018. "Price competition in the market for business telecommunications services," Journal of Regulatory Economics, Springer, vol. 54(1), pages 81-104, August.
    4. Jennifer Van Hook & Claire Altman, 2013. "Using Discrete-Time Event History Fertility Models to Simulate Total Fertility Rates and Other Fertility Measures," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(4), pages 585-610, August.
    5. Martorana, Marco Ferdinando & Mazza, Isidoro, 2010. "Satisfaction and adaptation in voting behavior: an empirical exploration," MPRA Paper 29135, University Library of Munich, Germany, revised Jan 2011.
    6. Claude Vincent & Byron Eastman, 2009. "Determinants of Pay in the NHL," Journal of Sports Economics, , vol. 10(3), pages 256-277, June.
    7. Juan Serrato & Philippe Wingender, 2016. "Estimating Local Fiscal Multipliers," Working Papers id:11109, eSocialSciences.
    8. Martorana, Marco F. & Mazza, Isidoro, 2012. "Adaptive voting: an empirical analysis of participation and choice," MPRA Paper 36165, University Library of Munich, Germany.
    9. Lee, Guenwoo & Suzuki, Aya & Nam, Vu Hoang, 2019. "Effect of network-based targeting on the diffusion of good aquaculture practices among shrimp producers in Vietnam," World Development, Elsevier, vol. 124(C), pages 1-1.
    10. Sergio G Lazzarini & Luiz F Mesquita & Felipe Monteiro & Aldo Musacchio, 2021. "Leviathan as an inventor: An extended agency model of state-owned versus private firm invention in emerging and developed economies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(4), pages 560-594, June.
    11. Comlanvi Martin Konou, 2023. "Entrepreneurial Risk and Digital Financial Inclusion: A Cross‐Country Analysis," Economic Papers, The Economic Society of Australia, vol. 42(3), pages 267-281, September.
    12. Quinn Keefer & Galib Rustamov, 2018. "Limited attention in residential energy markets: a regression discontinuity approach," Empirical Economics, Springer, vol. 55(3), pages 993-1017, November.
    13. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    14. Jun Xu & J. Scott Long, 2005. "Confidence intervals for predicted outcomes in regression models for categorical outcomes," Stata Journal, StataCorp LP, vol. 5(4), pages 537-559, December.

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