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Bootstrapping econometric models (in Russian)

Author

Listed:
  • Russell Davidson

    (McGill University, Canada
    GREQAM, France)

Abstract

The bootstrap is a statistical technique used more and more widely in econometrics. While it is capable of yielding very reliable inference, some precautions should be taken in order to ensure this. Two “Golden Rules” are formulated that, if observed, help to obtain the best the bootstrap can offer. Bootstrapping always involves setting up a bootstrap data-generating process (DGP). The main types of bootstrap DGP in current use are discussed, with examples of their use in econometrics. The ways in which the bootstrap can be used to construct confidence sets differ somewhat from methods of hypothesis testing. The relation between the two sorts of problem is discussed.

Suggested Citation

  • Russell Davidson, 2007. "Bootstrapping econometric models (in Russian)," Quantile, Quantile, issue 3, pages 13-36, September.
  • Handle: RePEc:qnt:quantl:y:2007:i:3:p:13-36
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    File URL: http://quantile.ru/03/03-RD.pdf
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    References listed on IDEAS

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    1. John A. Tauras & Patrick M. O'Malley & Lloyd D. Johnston, 2001. "Effects of Price and Access Laws on Teenage Smoking Initiation: A National Longitudinal Analysis," NBER Working Papers 8331, National Bureau of Economic Research, Inc.
    2. John A. Tauras, 1999. "The Transition to Smoking Cessation: Evidence from Multiple Failure Duration Analysis," NBER Working Papers 7412, National Bureau of Economic Research, Inc.
    3. Suranovic, Steven M. & Goldfarb, Robert S. & Leonard, Thomas C., 1999. "An economic theory of cigarette addiction," Journal of Health Economics, Elsevier, vol. 18(1), pages 1-29, January.
    4. Labeaga, Jose M., 1999. "A double-hurdle rational addiction model with heterogeneity: Estimating the demand for tobacco," Journal of Econometrics, Elsevier, vol. 93(1), pages 49-72, November.
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    Citations

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    Cited by:

    1. Hounyo, Ulrich & Varneskov, Rasmus T., 2017. "A local stable bootstrap for power variations of pure-jump semimartingales and activity index estimation," Journal of Econometrics, Elsevier, vol. 198(1), pages 10-28.
    2. repec:eee:econom:v:201:y:2017:i:2:p:228-236 is not listed on IDEAS
    3. Davidson, Russell, 2017. "A discrete model for bootstrap iteration," Journal of Econometrics, Elsevier, vol. 201(2), pages 228-236.
    4. Mazzutti, Caio Cícero Toledo Piza da Costa, 2016. "Three essays on the causal impacts of child labour laws in Brazil," Economics PhD Theses 0616, Department of Economics, University of Sussex.
    5. Yang, Zhenlin, 2015. "LM tests of spatial dependence based on bootstrap critical values," Journal of Econometrics, Elsevier, vol. 185(1), pages 33-59.

    More about this item

    Keywords

    Bootstrap; hypothesis test; confidence set;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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