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Journal of Economic Theory and Econometrics
Journal of the Korean Econometric Society
Local Linear Estimation of Nonparametric Cointegrating Regression
Vol.21, No.1, March 2010, 23–42
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Chang Sik Kim
(Sungkyunkwan University)
Jihyun Kim
(Sungkyunkwan University)
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Abstract
Nonparametric estimation of a nonlinear cointegrating regression model is studied. 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 cointegrating 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.
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Keywords
Local Time, Cointegration, Nonparametric Regression, Nadaraya-Watson Estimation, Local Linear Estimation |
JEL classification codes
C14, C22 |
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