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Specification and structural break tests for additive models with applications to realized variance data

Journal of Econometrics. 2015. Vol. 188. No. 1. P. 196–218.
Fengler M. R., Mammen E., Vogt M.

Abstract We study two types of testing problems in a nonparametric additive model setting: We develop methods to test (i) whether an additive component function has a given parametric form and (ii) whether an additive component has a structural break. We apply the theory to a nonparametric extension of the linear heterogeneous autoregressive model which is widely employed to describe realized variance data. We find that the linearity assumption is often rejected, but actual deviations from linearity are mild. © 2015 Elsevier B.V.

Priority areas: mathematics
Language: English
Full text
DOI
Keywords: backfittingAdditive modelsHeterogeneous autoregressive modelNonparametric time series analysisRealized varianceSpecification testsStructural break testsаддитивные моделинеоднородная авторегрессионная модельнепараметрический анализ временных рядов
Publication based on the results of:
Вероятностные и статистические методы анализа сложных моделей, задаваемых стохастическими дифференциальными и разностными уравнениями (2015)
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