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Bootstrap Methods in Econometrics

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Author Info
JAMES G. M acKINNON

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Abstract

There are many bootstrap methods that can be used for econometric analysis. In certain circumstances, such as regression models with independent and identically distributed error terms, appropriately chosen bootstrap methods generally work very well. However, there are many other cases, such as regression models with dependent errors, in which bootstrap methods do not always work well. This paper discusses a large number of bootstrap methods that can be useful in econometrics. Applications to hypothesis testing are emphasized, and simulation results are presented for a few illustrative cases. Copyright © 2006 The Economic Society of Australia.

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Article provided by The Economic Society of Australia in its journal Economic Record.

Volume (Year): 82 (2006)
Issue (Month): s1 (09)
Pages: S2-S18
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Handle: RePEc:bla:ecorec:v:82:y:2006:i:s1:p:s2-s18

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Russell Davidson & Emmanuel Flachaire, 2001. "The Wild Bootstrap, Tamed at Last," Working Papers 1000, Queen's University, Department of Economics. [Downloadable!]
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  2. Joon Y. Park, 2003. "Bootstrap Unit Root Tests," Econometrica, Econometric Society, vol. 71(6), pages 1845-1895, November. [Downloadable!] (restricted)
  3. Russell Davidson & James G. MacKinnon, 2001. "Bootstrap Tests: How Many Bootstraps?," Working Papers 1036, Queen's University, Department of Economics. [Downloadable!]
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  4. Jeff Racine & James G. MacKinnon, 2004. "Simulation-based Tests that Can Use Any Number of Simulations," Working Papers 1027, Queen's University, Department of Economics. [Downloadable!]
  5. Davidson, Russell & MacKinnon, James G., 1999. "The Size Distortion Of Bootstrap Tests," Econometric Theory, Cambridge University Press, vol. 15(03), pages 361-376, June. [Downloadable!]
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  6. James G. MacKinnon, 2002. "Bootstrap inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 35(4), pages 615-645, November. [Downloadable!] (restricted)
  7. Sílvia Gonçalves & Lutz Kilian, 2003. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," CIRANO Working Papers 2003s-17, CIRANO. [Downloadable!]
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  8. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October. [Downloadable!] (restricted)
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  9. Bruce E. Hansen, 1998. "Testing for Structural Change in Conditional Models," Boston College Working Papers in Economics 310., Boston College Department of Economics. [Downloadable!]
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  10. W. Härdle & J. Horowitz & J.-P. Kreiss, . "Bootstrap Methods For Time Series," Sonderforschungsbereich 373 2001-59, Humboldt Universitaet Berlin.
  11. Goncalves, Silvia & White, Halbert, 2005. "Bootstrap Standard Error Estimates for Linear Regression," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 970-979, September. [Downloadable!] (restricted)
  12. Donald W.K. Andrews, 2002. "The Block-block Bootstrap: Improved Asymptotic Refinements," Cowles Foundation Discussion Papers 1370, Cowles Foundation, Yale University. [Downloadable!]
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  13. Yoosoon Chang & Joon Y. Park, 2003. "A Sieve Bootstrap For The Test Of A Unit Root," Journal of Time Series Analysis, Blackwell Publishing, vol. 24(4), pages 379-400, 07. [Downloadable!] (restricted)
  14. Emmanuel Flachaire, 2002. "Bootstrapping heteroskedasticity consistent covariance matrix estimator," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00175897_v1, HAL. [Downloadable!]
  15. Davidson, Russell & MacKinnon, James G., 2006. "The power of bootstrap and asymptotic tests," Journal of Econometrics, Elsevier, vol. 133(2), pages 421-441, August. [Downloadable!] (restricted)
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  16. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-18, Nov.-Dec.. [Downloadable!] (restricted)
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  17. Freedman, David A & Peters, Stephen C, 1984. "Bootstrapping an Econometric Model: Some Empirical Results," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(2), pages 150-58, April.
  18. JAMES G. M acKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages S2-S18, 09. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Michael Lechner, 2008. "Long-run labour market effects of individual sports activities," University of St. Gallen Department of Economics working paper series 2008 2008-13, Department of Economics, University of St. Gallen. [Downloadable!]
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  2. Behncke, Stefanie & Frölich, Markus & Lechner, Michael, 2008. "A Caseworker Like Me - Does the Similarity between unemployed and Caseworker Increase Job Placements?," CEPR Discussion Papers 6784, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  3. Dilem Yildirim & Ralf Becker & Denise R Osborn, 2009. "Bootstrap Unit Root Tests for Nonlinear Threshold Models," The School of Economics Discussion Paper Series 0915, Economics, The University of Manchester. [Downloadable!]
  4. K. Patterson, 2007. "Bias Reduction through First-order Mean Correction, Bootstrapping and Recursive Mean Adjustment," Journal of Applied Statistics, Taylor and Francis Journals, vol. 34(1), pages 23-45, January. [Downloadable!] (restricted)
  5. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2009. "Does Leaving Welfare Improve Health? Evidence for Germany," IZA Discussion Papers 4370, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  6. Russell Davidson & James G. MacKinnon, 2006. "Bootstrap Inference in a Linear Equation Estimated by Instrumental Variables," Working Papers 1024, Queen's University, Department of Economics. [Downloadable!]
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  7. Alessandra Casella & Shuky Ehrenberg & Andrew Gelman & jie shen, 2008. "Protecting Minorities in Binary Elections: A Test of Storable Votes Using Field Data," Discussion Papers 0708-14, Columbia University, Department of Economics. [Downloadable!]
    Other versions:
  8. Daniel de Munnik & David Dupuis & Mark Illing, 2009. "Computing the Accuracy of Complex Non-Random Sampling Methods: The Case of the Bank of Canada's Business Outlook Survey," Working Papers 09-10, Bank of Canada. [Downloadable!]
  9. Russell Davidson & James G. MacKinnon, 2008. "Wild Bootstrap Tests for IV Regression," Working Papers 1135, Queen's University, Department of Economics. [Downloadable!]
    Other versions:
  10. James G. MacKinnon, 2006. "Bootstrap Methods in Econometrics," Working Papers 1028, Queen's University, Department of Economics. [Downloadable!]
    Other versions:
  11. James G. MacKinnon, 2007. "Bootstrap Hypothesis Testing," Working Papers 1127, Queen's University, Department of Economics. [Downloadable!]
  12. Lavan Mahadeva & Juan Carlos parra, 2008. "Testing a DSGE model and its partner database," BORRADORES DE ECONOMIA 004507, BANCO DE LA REPÚBLICA. [Downloadable!]
    Other versions:
  13. Efrem Castelnuovo, 2006. "Assessing Different Drivers of the GreatModeration in the U.S," "Marco Fanno" Working Papers 0025, Dipartimento di Scienze Economiche "Marco Fanno". [Downloadable!]
  14. Eo, Yunjong & Morley, James C., 2008. "Likelihood-Based Confidence Sets for the Timing of Structural Breaks," MPRA Paper 13913, University Library of Munich, Germany. [Downloadable!]
  15. Eo, Yunjong & Morley, James C., 2008. "Likelihood-Based Confidence Sets for the Timing of Structural Breaks," MPRA Paper 10372, University Library of Munich, Germany. [Downloadable!]
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