An asymptotic theory is given for autoregressive time series with a root of the form ρ n = 1 + c/ n α , which represents moderate deviations from unity when α in (0,1). The limit theory is obtained using a combination of a functional law to a diffusion on D [0,∞) and a central limit law to a scalar normal variate. For c \u3e 0, the results provide a n (1+α)/2 rate of convergence and asymptotic normality for the first order serial correlation, partially bridging the squareroot of n and n convergence rates for the stationary (α = 0) and conventional (α = 1) local to unity cases. For c \u3e 0, the serial correlation coefficient is shown to have a n α ρ n n convergence rate and a Cauchy limit distribution without assuming Gaussian errors, so an in...
This note introduces a simple first-difference-based approach to estimation and inference for the AR(1...
A limit theory is developed for multivariate regression in an explosive cointegrated system. The asy...
Limit theory for regressions involving local to unit roots (LURs) is now used extensively in time se...
An asymptotic theory is given for autoregressive time series with a root of the form ρ n = 1 + c/ n ...
An asymptotic theory is given for autoregressive time series with weakly dependent innovations and a...
An asymptotic theory is given for autoregressive time series with a root of the form , which represe...
Onassis Foundation for scholarship support. An asymptotic theory is given for autoregressive time se...
A limit theory is established for autoregressive time series that smooths the transition between loc...
A limit theory is established for autoregressive time series that smooths the transition between loc...
First order autoregression is shown to satisfy a limit theory which is uniform over stationary value...
This paper develops an asymptotic theory for a first order autoregression with a root near unity. Dev...
This paper studies functional local unit root models (FLURs) in which the autoregressive coefficient ...
We establish the asymptotic theory in quantile autoregression when the model parameter is specified ...
While differencing transformations can eliminate nonstationarity, they typically reduce signal streng...
This paper considers a mean zero stationary first-order autoregressive (AR) model. It is shown that t...
This note introduces a simple first-difference-based approach to estimation and inference for the AR(1...
A limit theory is developed for multivariate regression in an explosive cointegrated system. The asy...
Limit theory for regressions involving local to unit roots (LURs) is now used extensively in time se...
An asymptotic theory is given for autoregressive time series with a root of the form ρ n = 1 + c/ n ...
An asymptotic theory is given for autoregressive time series with weakly dependent innovations and a...
An asymptotic theory is given for autoregressive time series with a root of the form , which represe...
Onassis Foundation for scholarship support. An asymptotic theory is given for autoregressive time se...
A limit theory is established for autoregressive time series that smooths the transition between loc...
A limit theory is established for autoregressive time series that smooths the transition between loc...
First order autoregression is shown to satisfy a limit theory which is uniform over stationary value...
This paper develops an asymptotic theory for a first order autoregression with a root near unity. Dev...
This paper studies functional local unit root models (FLURs) in which the autoregressive coefficient ...
We establish the asymptotic theory in quantile autoregression when the model parameter is specified ...
While differencing transformations can eliminate nonstationarity, they typically reduce signal streng...
This paper considers a mean zero stationary first-order autoregressive (AR) model. It is shown that t...
This note introduces a simple first-difference-based approach to estimation and inference for the AR(1...
A limit theory is developed for multivariate regression in an explosive cointegrated system. The asy...
Limit theory for regressions involving local to unit roots (LURs) is now used extensively in time se...