textabstractAbstract. This paper analyzes the presence and consequences of a unit root in periodic autoregressive models for univariate quarterly time series. First, we consider various representations of such models, including a new parametrization which facilitates imposing a unit root restriction. Next, we propose a class of likelihood ratio tests for a unit root, and we derive their asymptotic null distributions. Likelihood ratio tests for periodic parameter variation are also proposed. Finally, we analyze the impact on unit root inference of misspecifying a periodic process by a constant-parameter model
Unit root testing has been developed through numerous papers since the work of Dickey and Fuller (...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
We analyse regression-based tests for seasonal unit roots when the shocks are periodically heterosce...
This paper analyses the presence and consequences of a unit root in periodic autoregressive models f...
textabstractIn this paper we propose a model selection strategy for a univariate periodic autoregres...
textabstractA periodic autoregressive time-series model assumes that the autoregressive parameters v...
Inference on ordinary unit roots, seasonal unit roots, seasonality and business cycles are fundament...
This paper addresses the problem of testing for the presence of unit autoregressive roots in seasona...
In an important generalization of zero frequency autoregressive unit root tests, Hylleberg, Engle, G...
Les procédures standards pour tester la présence de racines unitaires aux fréquences saisonnières so...
A Bayesian testing approach for a periodic unit root in quarterly and monthly data is presented. Fur...
This paper proposes bootstrap tests for the presence of unit roots in a seasonal autoregressive mode...
textabstractThis paper is concerned with forecasting univariate seasonal time series data using peri...
A comprehensive seasonally integrated periodic autoregressive model is suggested which is shown to b...
Part of the increasing interest in the treatment of seasonality in economic time series has focused ...
Unit root testing has been developed through numerous papers since the work of Dickey and Fuller (...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
We analyse regression-based tests for seasonal unit roots when the shocks are periodically heterosce...
This paper analyses the presence and consequences of a unit root in periodic autoregressive models f...
textabstractIn this paper we propose a model selection strategy for a univariate periodic autoregres...
textabstractA periodic autoregressive time-series model assumes that the autoregressive parameters v...
Inference on ordinary unit roots, seasonal unit roots, seasonality and business cycles are fundament...
This paper addresses the problem of testing for the presence of unit autoregressive roots in seasona...
In an important generalization of zero frequency autoregressive unit root tests, Hylleberg, Engle, G...
Les procédures standards pour tester la présence de racines unitaires aux fréquences saisonnières so...
A Bayesian testing approach for a periodic unit root in quarterly and monthly data is presented. Fur...
This paper proposes bootstrap tests for the presence of unit roots in a seasonal autoregressive mode...
textabstractThis paper is concerned with forecasting univariate seasonal time series data using peri...
A comprehensive seasonally integrated periodic autoregressive model is suggested which is shown to b...
Part of the increasing interest in the treatment of seasonality in economic time series has focused ...
Unit root testing has been developed through numerous papers since the work of Dickey and Fuller (...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
We analyse regression-based tests for seasonal unit roots when the shocks are periodically heterosce...