This chapter is concerned with forecasting univariate seasonal time series data using periodic autoregressive models We show how one should account for unit roots and deterministic terms when generating outofsample forecasts We illus trate the models for various quarterly UK consumption series This is the rst version July of a chapter that is to be prepared for potential inclusion in the Companion to Economic Forecasting edited by Michael Clements and David Hendry Oxford Basi
textabstractExamples of descriptive models for changing seasonal patterns in economic time series ar...
Book cover Mathematical and Statistical Methods for Actuarial Sciences and Finance pp 79–85Cite as ...
textabstractA periodic autoregressive time-series model assumes that the autoregressive parameters v...
textabstractThis paper is concerned with forecasting univariate seasonal time series data using peri...
Periodic models for seasonal data allow the parameters of the model to vary across the different sea...
textabstractThis book considers periodic time series models for seasonal data, characterized by para...
Periodic models for seasonal data allow the parameters of the model to vary across the different sea...
A comprehensive seasonally integrated periodic autoregressive model is suggested which is shown to b...
This article proposes an alternative methodology for modeling and forecasting seasonal series. The a...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
A periodic time series analysis is explored in the context of unobserved components time series mode...
textabstractIn this paper we propose a model selection strategy for a univariate periodic autoregres...
textabstractWe propose a new periodic autoregressive model for seasonally observed time series, wher...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
textabstractExamples of descriptive models for changing seasonal patterns in economic time series ar...
Book cover Mathematical and Statistical Methods for Actuarial Sciences and Finance pp 79–85Cite as ...
textabstractA periodic autoregressive time-series model assumes that the autoregressive parameters v...
textabstractThis paper is concerned with forecasting univariate seasonal time series data using peri...
Periodic models for seasonal data allow the parameters of the model to vary across the different sea...
textabstractThis book considers periodic time series models for seasonal data, characterized by para...
Periodic models for seasonal data allow the parameters of the model to vary across the different sea...
A comprehensive seasonally integrated periodic autoregressive model is suggested which is shown to b...
This article proposes an alternative methodology for modeling and forecasting seasonal series. The a...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
A periodic time series analysis is explored in the context of unobserved components time series mode...
textabstractIn this paper we propose a model selection strategy for a univariate periodic autoregres...
textabstractWe propose a new periodic autoregressive model for seasonally observed time series, wher...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
textabstractExamples of descriptive models for changing seasonal patterns in economic time series ar...
Book cover Mathematical and Statistical Methods for Actuarial Sciences and Finance pp 79–85Cite as ...
textabstractA periodic autoregressive time-series model assumes that the autoregressive parameters v...