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We consider unobserved components time series models where the components are stochastically evolving over time and are subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of the observed time series. We develop a simulated...
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We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...
Persistent link: https://www.econbiz.de/10011373822
The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
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In this paper, we develop tests for structural change in cointegrated panel regressions with common and idiosyncratic trends. We consider both the cases of observable and nonobservable common trends, deriving a Functional Central Limit Theorem for the partial sample estimators under the null of...
Persistent link: https://www.econbiz.de/10013127390
, Ghysels, lee and Noh (1994) conducted a simulation study by considering the alternative of a non-seasonal random walk to … developing the limit theory of statistics of Dickey and Fuller Hasza [DHF] (1984) when the data are generated by a non … asymptotic theory of the statistics subsumed in the HEGY procedure. In this paper, I show that establishing the limit theory of F …
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