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Uniform Rates for Kernel Estimators of Weakly Dependent Data

Juan Carlos Escanciano

arXiv 20 May 2020 · Econometrics

arXiv:2005.09951 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper provides new uniform rate results for kernel estimators of absolutely regular stationary processes that are uniform in the bandwidth and in infinite-dimensional classes of dependent variables and regressors. Our results are useful for establishing asymptotic theory for two-step semiparametric estimators in time series models. We apply our results to obtain nonparametric estimates and their rates for Expected Shortfall processes.

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