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This paper investigates the bias and the Bahadur representation of a local polynomial estimator of the conditional quantile function and its derivatives. The bias and Bahadur remainder term are studied uniformly with respect to the quantile level, the covariates and the smoothing parameter. The...
Persistent link: https://www.econbiz.de/10003877118
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This paper investigates the bias and the weak Bahadur representation of a local polynomial estimator of the conditional quantile function and its derivatives. The bias and Bahadur remainder term are studied uniformly with respect to the quantile level, the covariates, and the smoothing...
Persistent link: https://www.econbiz.de/10010932077
Persistent link: https://www.econbiz.de/10009832942
This paper investigates the bias and the Bahadur representation of a local polynomial estimator of the conditional quantile function and its derivatives. The bias and Bahadur remainder term are studied uniformly with respect to the quantile level, the covariates and the smoothing parameter. The...
Persistent link: https://www.econbiz.de/10004998426
Persistent link: https://www.econbiz.de/10010826327
Persistent link: https://www.econbiz.de/10001141265
A new test is proposed for the null of absence of serial correlation. The test uses a data-driven smoothing parameter. The resulting test statistic has a standard limit distribution under the null. The smoothing parameter is calibrated to achieve rate-optimality against several classes of...
Persistent link: https://www.econbiz.de/10010280754
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