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Bootstrap Methods and Applications in Econometrics - A Brief Survey

Author

Listed:
  • Bergström, Pål

    (Trade and Capital Markets)

Abstract

This paper provides a brief survey of the bootstrap and its use in econometrics. As an introduction, the paper gives a description of the basics of the method, with a special emphasis on boostrap testing. A fairly large amount of space is devoted to discuss why bootstrap tests provide refinements compared to equivalent asymptotic tests. A series of recent different applications in the econometrics literature is then surveyed, in order to give a picture of this rapidly evolving research field.

Suggested Citation

  • Bergström, Pål, 1999. "Bootstrap Methods and Applications in Econometrics - A Brief Survey," Working Paper Series 1999:2, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:1999_002
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    File URL: http://www.nek.uu.se/pdf/1999wp2.pdf
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    References listed on IDEAS

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    1. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589833.
    2. Horowitz, J.L., 1996. "Bootstrap Critical Values for Tests Based on the Smoothed Maximum Score Estimator," Working Papers 96-02, University of Iowa, Department of Economics.
    3. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    4. Matz Dahlberg & Eva Johansson, 2000. "An examination of the dynamic behaviour of local governments using GMM bootstrapping methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(4), pages 401-416.
    5. Horowitz, J., 1996. "Bootstrap Critical Values For Tests Based On The Smoothed Maximum Score Estimator," SFB 373 Discussion Papers 1996,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    6. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589819.
    7. Wong, Ka-fu, 1996. "Bootstrapping Hausman's exogeneity test," Economics Letters, Elsevier, vol. 53(2), pages 139-143, November.
    8. Davidson, Russell & MacKinnon, James G., 1999. "The Size Distortion Of Bootstrap Tests," Econometric Theory, Cambridge University Press, vol. 15(3), pages 361-376, June.
    9. Joel L. Horowitz, 1996. "Bootstrap Methods in Econometrics: Theory and Numerical Performance," Econometrics 9602009, University Library of Munich, Germany, revised 05 Mar 1996.
    10. Hall, Peter & Horowitz, Joel L, 1996. "Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators," Econometrica, Econometric Society, vol. 64(4), pages 891-916, July.
    11. Bergström, Pål & Lindberg, Sara, 1998. "Firms' Financial Policy and Labour Demand: Theory and Evidence," Working Paper Series 1998:18, Uppsala University, Department of Economics.
    12. Bergstrom, P., 1997. "On Bootstrap Standard Errors in Dynamic Panel Data Models ," Papers 1997-23, Uppsala - Working Paper Series.
    13. Harris, R. I. D. & Judge, G., 1998. "Small sample testing for cointegration using the bootstrap approach," Economics Letters, Elsevier, vol. 58(1), pages 31-37, January.
    14. MacKinnon, James G. & Smith Jr., Anthony A., 1998. "Approximate bias correction in econometrics," Journal of Econometrics, Elsevier, vol. 85(2), pages 205-230, August.
    15. Atkinson, Scott E. & Wilson, Paul W., 1992. "The Bias of Bootstrapped Versus Conventional Standard Errors in the General Linear and SUR Models," Econometric Theory, Cambridge University Press, vol. 8(2), pages 258-275, June.
    16. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-531, May.
    17. Harris, R I D, 1992. "Small Sample Testing for Unit Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(4), pages 615-625, November.
    18. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    19. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589826.
    20. Bergström, Pål & Dahlberg, Matz & Johansson, Eva, 1997. "GMM Bootstrapping and Testing in Dynamic Panels," Working Paper Series 1997:10, Uppsala University, Department of Economics.
    21. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    22. repec:cup:etheor:v:8:y:1992:i:2:p:258-75 is not listed on IDEAS
    23. Joel L. Horowitz, 1996. "Bootstrap Critical Values for Tests Based on the Smoothed Maximum Score Estimator," Econometrics 9603003, University Library of Munich, Germany.
    24. Rilstone, Paul & Veall, Michael, 1996. "Using Bootstrapped Confidence Intervals for Improved Inferences with Seemingly Unrelated Regression Equations," Econometric Theory, Cambridge University Press, vol. 12(3), pages 569-580, August.
    25. Li, Hongyi & Maddala, G. S., 1997. "Bootstrapping cointegrating regressions," Journal of Econometrics, Elsevier, vol. 80(2), pages 297-318, October.
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    Cited by:

    1. Stan Hurn & Ralf Becker, 2009. "Testing for Nonlinearity in Mean in the Presence of Heteroskedasticity," Economic Analysis and Policy, Elsevier, vol. 39(2), pages 311-326, September.
    2. Hugosson, Muriel Beser, 2005. "Quantifying uncertainties in a national forecasting model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 531-547, July.
    3. Adrian Pagan & Hashem Pesaran, 2007. "Econometric Analysis of Structural Systems with Permanent and Transitory Shocks. Working paper #7," NCER Working Paper Series 7, National Centre for Econometric Research.

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    More about this item

    Keywords

    Bootstrap; Sample Reuse Methods; Simulation Methods;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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