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Finite-sample properties of the bootstrap estimator in a Markov-switching model

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  • Tsung-Wu Ho

Abstract

The size distortion problem is clearly indicative of the small-sample approximation in the Markov-switching regression model. This paper shows that the bootstrap procedure can relieve the effects that this problem has. Our Monte Carlo simulation results reveal that the bootstrap maximum likelihood asymptotic approximations to the distribution can often be good when the sample size is small.

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  • Tsung-Wu Ho, 2001. "Finite-sample properties of the bootstrap estimator in a Markov-switching model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(7), pages 835-842.
    • Handle: RePEc:taf:japsta:v:28:y:2001:i:7:p:835-842
    DOI: 10.1080/02664760120074924
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    1. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    2. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    3. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    4. Hamilton, James D, 1991. "A Quasi-Bayesian Approach to Estimating Parameters for Mixtures of Normal Distributions," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 27-39, January.
    5. Psaradakis, Zacharias & Sola, Martin, 1998. "Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching," Journal of Econometrics, Elsevier, vol. 86(2), pages 369-386, June.
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    Cited by:

    1. James G. MacKinnon, 2012. "Thirty Years Of Heteroskedasticity-robust Inference," Working Paper 1268, Economics Department, Queen's University.
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    3. T. -W. Ho, 2003. "Regime-switching properties of the optimal seigniorage hypothesis: the case of Taiwan," Applied Economics, Taylor & Francis Journals, vol. 35(4), pages 485-494.

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