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autocorrelation, especially in the context of time-series models, has received little attention. As a rule of thumb, one might attempt … autocorrelation in quantile regression models, which does not suffer from size distortion. Monte Carlo simulations demonstrate that …
Persistent link: https://www.econbiz.de/10011188500
in both time-series and panel datasets. However, how to test for possible autocorrelation, especially in the context of … quantiles. We then propose two correct tests (named the F-test and the QR-LM test) for autocorrelation in quantile models, which …
Persistent link: https://www.econbiz.de/10011191569
Time series are demeaned when sample autocorrelation functions are computed. By the same logic it would seem appealing … to remove seasonal means from seasonal time series before computing sample autocorrelation functions. Yet, standard … series are seasonally demeaned has very important consequences on the asymptotic behavior of autocorrelation functions …
Persistent link: https://www.econbiz.de/10005100761
coefficients d'autocorrélation : bornes exponen-tielles, bornes de type Eaton, bornes de Chebyshev et bornes de Berry … la performance des bornes et comparons celle-ci à celle de tests d'autocorrélation traditionnels. Les procédures …
Persistent link: https://www.econbiz.de/10005100838
In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only...
Persistent link: https://www.econbiz.de/10005100872