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Semiparametric unit root tests based on symmetric estimators

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  • Shin, Dong Wan
  • So, Beong-Soo

Abstract

Based on symmetric estimation and the weighted symmetric estimation of Pantula et al. (1994) and Park and Fuller (1995), new semiparametric tests for testing a unit root under the general situation of Phillips (1987) and Phillips and Perron (1988) are developed. A Monte-Carlo simulation shows that the new tests have better power than the semiparametric tests of Phillips (1987) and Phillips and Perron (1988), under first-order moving average errors.

Suggested Citation

  • Shin, Dong Wan & So, Beong-Soo, 1997. "Semiparametric unit root tests based on symmetric estimators," Statistics & Probability Letters, Elsevier, vol. 33(2), pages 177-184, April.
    • Handle: RePEc:eee:stapro:v:33:y:1997:i:2:p:177-184
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    References listed on IDEAS

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    1. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    2. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    3. Pantula, Sastry G. & Hall, Alastair, 1991. "Testing for unit roots in autoregressive moving average models : An instrumental variable approach," Journal of Econometrics, Elsevier, vol. 48(3), pages 325-353, June.
    4. Pantula, Sastry G & Gonzalez-Farias, Graciela & Fuller, Wayne A, 1994. "A Comparison of Unit-Root Test Criteria," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 449-459, October.
    5. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    6. Sook Fwe Yap & Gregory C. Reinsel, 1995. "Results On Estimation And Testing For A Unit Root In The Nonstationary Autoregressive Moving‐Average Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(3), pages 339-353, May.
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