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Local Linear Estimation of Nonparametric Cointegrating Regression

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Nonparametric estimation of a nonlinear cointegrating regression model is stud-ied. This paper offers the asymptotic theory of the local linear estimator for a nonlinear cointegrating regression model. It is shown that the local linear estimator has the same asymptotic distribution as the Nadaraya-Watson estimator in a nonparametric cointegrat-ing regression, and the asymptotic orders for the biases of the two nonparametric estimators will be provided. Monte Carlo simulation shows that the finite sample performances of the local linear estimator outperform those of Nadaraya-Watson estimator.

Abstract

Nonparametric estimation of a nonlinear cointegrating regression model is stud-ied. This paper offers the asymptotic theory of the local linear estimator for a nonlinear cointegrating regression model. It is shown that the local linear estimator has the same asymptotic distribution as the Nadaraya-Watson estimator in a nonparametric cointegrat-ing regression, and the asymptotic orders for the biases of the two nonparametric estimators will be provided. Monte Carlo simulation shows that the finite sample performances of the local linear estimator outperform those of Nadaraya-Watson estimator.

참고문헌 (16)

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  10. Park, J. Y., "Nonlinear regressions with integrated time series", Econometrica, 69, pp.117~161 (2001)
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  12. Stone, C.J., "Consistent nonparametric regression", Annals of Statistics, 5, pp.595~620 (1977)
  13. Wang, Q., "Asymptotic theory for local time density estima-tion and nonparametric cointegrating regression", Econometric Theory, 25, pp.1~29 (2009)
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  15. Asymptotic Theory for Zero Energy Density Es-timation with Nonparametric Regression Applications, "Wang, Q.", 143~164, pp.Cowles foundation discussion paper NO. 1687
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