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- W3143236546 abstract "A general class of non-stationary time series is considered in this paper. We estimate the time-varying coefficients by using local linear M-estimation. For these estimators, weak Bahadur representations are obtained and are used to construct simultaneous confidence bands. For practical implementation, we propose a bootstrap based method to circumvent the slow logarithmic convergence of the theoretical simultaneous bands. Our results substantially generalize and unify the treatments for several time-varying regression and auto-regression models. The performance for tvARCH and tvGARCH models is studied in simulations and a few real-life applications of our study are presented through the analysis of some popular financial datasets." @default.
- W3143236546 created "2021-04-13" @default.
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- W3143236546 date "2022-04-01" @default.
- W3143236546 modified "2023-10-01" @default.
- W3143236546 title "Simultaneous inference for time-varying models" @default.
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- W3143236546 doi "https://doi.org/10.1016/j.jeconom.2021.03.002" @default.
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