When working with time series data observed at intervals smaller than a year, it is often necessary to test for the presence of seasonal unit roots. One of the most widely used methods for testing seasonal unit roots is that of HEGY, which provides test statistics with non-standard distributions. This paper describes a generalisation of this method for any periodicity and uses a response surface regressions approach to calculate the critical values and P values of the HEGY statistics whatever the periodicity and sample size of the data. The algorithms are prepared with the Gretl open source econometrics package and some new tables of critical values for daily, hourly and half-hourly data are presented.Financial support from research projec...
This paper analyzes two key issues for the empirical implementation of parametric seasonal unit root...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
This paper develops univariate seasonal unit root tests based on spectral regression estimators. An ...
When working with time series data observed at intervals smaller than a year, it is often necessary ...
This paper generalizes the HEGY-type test to detect seasonal unit roots in data at any frequency, ba...
This paper presents a response surface analysis for the distributions of the popular tests for seaso...
In this paper we introduce a sequential seasonal unit root testing approach which explicitly address...
This paper studies the behavior of the HEGY statistics for quarterly data, for seasonal autoregressi...
Empirical studies have shown little evidence to support the presence of all unit roots present in th...
This paper considers statistics based on spectral regression estimators for testing for seasonal uni...
This paper studies the behavior of the HEGY statistics for quarterly data, for seasonal autoregressi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
This paper analyzes two key issues for the empirical implementation of parametric seasonal unit root...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
This paper develops univariate seasonal unit root tests based on spectral regression estimators. An ...
When working with time series data observed at intervals smaller than a year, it is often necessary ...
This paper generalizes the HEGY-type test to detect seasonal unit roots in data at any frequency, ba...
This paper presents a response surface analysis for the distributions of the popular tests for seaso...
In this paper we introduce a sequential seasonal unit root testing approach which explicitly address...
This paper studies the behavior of the HEGY statistics for quarterly data, for seasonal autoregressi...
Empirical studies have shown little evidence to support the presence of all unit roots present in th...
This paper considers statistics based on spectral regression estimators for testing for seasonal uni...
This paper studies the behavior of the HEGY statistics for quarterly data, for seasonal autoregressi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
This paper analyzes two key issues for the empirical implementation of parametric seasonal unit root...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
This paper develops univariate seasonal unit root tests based on spectral regression estimators. An ...