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Bootstrap tests for autocorrelation

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  • Jeong, Jinook
  • Chung, Seoung

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  • Jeong, Jinook & Chung, Seoung, 2001. "Bootstrap tests for autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 49-69, November.
    • Handle: RePEc:eee:csdana:v:38:y:2001:i:1:p:49-69
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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, January.
    2. Ansley, Craig F. & Kohn, Robert & Shively, Thomas S., 1992. "Computing p-values for the generalized Durbin-Watson and other invariant test statistics," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 277-300.
    3. R. W. Farebrother, 1984. "The Distribution of a Linear Combination of Central X2 Random Variables a Remark on as 153: Pan's Procedure for the Tail Probabilities of the Durbin–Watson Statistic," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 33(3), pages 363-366, November.
    4. James G. MacKinnon & Russell Davidson, 1996. "The Size And Power Of Bootstrap Tests," Working Paper 932, Economics Department, Queen's University.
    5. Jeong, Jinook & Lee, Kyoungwoo, 1999. "Bootstrapped White's test for heteroskedasticity in regression models," Economics Letters, Elsevier, vol. 63(3), pages 261-267, June.
    6. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589819, January.
    7. Veall, Michael R., 1986. "Bootstrapping regression estimators under first-order serial correlation," Economics Letters, Elsevier, vol. 21(1), pages 41-44.
    8. Jeong, Ki-Jun, 1985. "A New Approximation of the Critical Point of the Durbin-Watson Test for Serial Correlation," Econometrica, Econometric Society, vol. 53(2), pages 477-482, March.
    9. Lahiri, Soumendra Nath, 1991. "Second order optimality of stationary bootstrap," Statistics & Probability Letters, Elsevier, vol. 11(4), pages 335-341, April.
    10. Rayner, Robert K, 1990. "Bootstrapping p Values and Power in the First-Order Autoregression: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 251-263, April.
    11. Davidson, Russell & MacKinnon, James G., 1996. "The Power of Bootstrap Tests," Queen's Institute for Economic Research Discussion Papers 273372, Queen's University - Department of Economics.
    12. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589826, January.
    13. Theil, Henri & Shonkwiler, J. S., 1986. "Monte Carlo tests of autocorrelation," Economics Letters, Elsevier, vol. 20(2), pages 157-160.
    14. Durbin, J, 1970. "Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables," Econometrica, Econometric Society, vol. 38(3), pages 410-421, May.
    15. Li, Hongyi & Maddala, G. S., 1997. "Bootstrapping cointegrating regressions," Journal of Econometrics, Elsevier, vol. 80(2), pages 297-318, October.
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    2. Godfrey, L.G., 2007. "Alternative approaches to implementing Lagrange multiplier tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3282-3295, April.
    3. Kwan, Andy C.C. & Sim, Ah-Boon & Wu, Yangru, 2005. "A comparative study of the finite-sample performance of some portmanteau tests for randomness of a time series," Computational Statistics & Data Analysis, Elsevier, vol. 48(2), pages 391-413, February.
    4. Hella, Heikki, 2003. "On robust ESACF identification of mixed ARIMA models," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2003_027, December.
    5. Mantalos Panagiotis, 2003. "Bootstrapping the Breusch-Godfrey autocorrelation test for a single equation dynamic model: Bootstrapping the Restricted vs. Unrestricted model," Monte Carlo Methods and Applications, De Gruyter, vol. 9(3), pages 257-269, September.

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