First order autoregression is shown to satisfy a limit theory which is uniform over stationary values of the autoregressive coefficient ρ = ρ n in [0,1) provided (1 - ρ n )n approaches infinity. This extends existing Gaussian limit theory by allowing for values of stationary rho that include neighbourhoods of unity provided they are wider than ( n 1 ), even by a slowly varying factor. Rates of convergence depend on rho and are at least squareroot of / n but less than n . Only second moments are assumed, as in the case of stationary autoregression with fixed ρ
AbstractPhillips and Magdalinos (2007) [1] gave the asymptotic theory for autoregressive time series...
Consider a sequence of random variables which obeys a first order autoregressive model with unknown ...
A prominent use of local to unity limit theory in applied work is the construction of confidence inte...
First order autoregression is shown to satisfy a limit theory which is uniform over stationary value...
While differencing transformations can eliminate nonstationarity, they typically reduce signal streng...
An asymptotic theory is given for autoregressive time series with a root of the form ρ n = 1 + c/ n ...
A limit theory is established for autoregressive time series that smooths the transition between loc...
An asymptotic theory is given for autoregressive time series with weakly dependent innovations and a...
This paper considers a mean zero stationary first-order autoregressive (AR) model. It is shown that t...
This paper studies functional local unit root models (FLURs) in which the autoregressive coefficient ...
This note introduces a simple first-difference-based approach to estimation and inference for the AR(1...
This paper develops an asymptotic theory for a first order autoregression with a root near unity. Dev...
While differencing transformations can eliminate nonstationarity, they typically reduce sig-nal stre...
A limit theory is established for autoregressive time series that smooths the transition between loc...
Onassis Foundation for scholarship support. An asymptotic theory is given for autoregressive time se...
AbstractPhillips and Magdalinos (2007) [1] gave the asymptotic theory for autoregressive time series...
Consider a sequence of random variables which obeys a first order autoregressive model with unknown ...
A prominent use of local to unity limit theory in applied work is the construction of confidence inte...
First order autoregression is shown to satisfy a limit theory which is uniform over stationary value...
While differencing transformations can eliminate nonstationarity, they typically reduce signal streng...
An asymptotic theory is given for autoregressive time series with a root of the form ρ n = 1 + c/ n ...
A limit theory is established for autoregressive time series that smooths the transition between loc...
An asymptotic theory is given for autoregressive time series with weakly dependent innovations and a...
This paper considers a mean zero stationary first-order autoregressive (AR) model. It is shown that t...
This paper studies functional local unit root models (FLURs) in which the autoregressive coefficient ...
This note introduces a simple first-difference-based approach to estimation and inference for the AR(1...
This paper develops an asymptotic theory for a first order autoregression with a root near unity. Dev...
While differencing transformations can eliminate nonstationarity, they typically reduce sig-nal stre...
A limit theory is established for autoregressive time series that smooths the transition between loc...
Onassis Foundation for scholarship support. An asymptotic theory is given for autoregressive time se...
AbstractPhillips and Magdalinos (2007) [1] gave the asymptotic theory for autoregressive time series...
Consider a sequence of random variables which obeys a first order autoregressive model with unknown ...
A prominent use of local to unity limit theory in applied work is the construction of confidence inte...