Semiparametric extensions of the seasonal unit root tests for the model of Dickey et al. (1984, J. Amer. Statist. Assoc. 79, 355) are proposed. Development of semiparametric extensions based on the ordinary least-squares estimator (OLSE) is impossible for the regression of since the limiting null d
Semiparametric unit root tests based on symmetric estimators
β Scribed by Dong Wan Shin; Beong-Soo So
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 370 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
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.
π SIMILAR VOLUMES
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There has been considerable recent interest in testing for a unit root in autoregressive models, especially in the context of cointegration models in econometrics. The likelihood ratio test for a unit root has non-standard asymptotic behaviour. In particular, when the errors are Gaussian, the limiti