textabstractWe consider the problem of testing for seasonal unit roots in monthly panel data. To this aim, we generalize the quarterly CHEGY test to the monthly case. This parametric test is contrasted with a new nonparametric test, which is the panel counterpart to the univariate RURS test that relies on counting extrema in time series. All methods are applied to an empirical data set on tourism in Austrian provinces. The power properties of the tests are evaluated in simulation experiments that are tuned to the tourism data
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 uses the approach of Im, Pesaran and Shin [Im, K.S., Pesaran, M.H., Shin, Y., 2003. Testi...
Some unit root testing situations are more difficult than others. In the case of quarterly industria...
In this paper we introduce a sequential seasonal unit root testing approach which explicitly address...
Some unit root testing situations are more difficult than others. In the case of quar-terly industri...
textabstractIn this paper, we present tables with critical values for a variety of tests for seasona...
Many economic time series exhibit important systematic fluctuations within the year, i.e., seasonali...
Many economic time series exhibit important systematic fluctuations within the year, i.e., seasonali...
Part of the increasing interest in the treatment of seasonality in economic time series has focused ...
textabstractIn this paper we consider a semiparametric version of the test for seasonal unit roots s...
textabstractIn this paper we introduce a sequential seasonal unit root testing approach which explic...
The literature has been notably less definitive in distinguishing between finite sample studies of s...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
This paper uses the approach of Im, Pesaran and Shin [Im, K.S., Pesaran, M.H., Shin, Y, 2003. Testin...
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 uses the approach of Im, Pesaran and Shin [Im, K.S., Pesaran, M.H., Shin, Y., 2003. Testi...
Some unit root testing situations are more difficult than others. In the case of quarterly industria...
In this paper we introduce a sequential seasonal unit root testing approach which explicitly address...
Some unit root testing situations are more difficult than others. In the case of quar-terly industri...
textabstractIn this paper, we present tables with critical values for a variety of tests for seasona...
Many economic time series exhibit important systematic fluctuations within the year, i.e., seasonali...
Many economic time series exhibit important systematic fluctuations within the year, i.e., seasonali...
Part of the increasing interest in the treatment of seasonality in economic time series has focused ...
textabstractIn this paper we consider a semiparametric version of the test for seasonal unit roots s...
textabstractIn this paper we introduce a sequential seasonal unit root testing approach which explic...
The literature has been notably less definitive in distinguishing between finite sample studies of s...
Abstract: Nonparametric unit-root tests are a useful addendum to the tool-box of time-series analysi...
This paper uses the approach of Im, Pesaran and Shin [Im, K.S., Pesaran, M.H., Shin, Y, 2003. Testin...
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 uses the approach of Im, Pesaran and Shin [Im, K.S., Pesaran, M.H., Shin, Y., 2003. Testi...