Determining whether a time series has a unit root is an important problem in many time series analyses. For seasonal time series the problem is more complicated as one has to decide whether both regular and seasonal differencing or just one of them would suffice to transform a series into stationarity. This important problem is addressed via the Lagrange multiplier test approach. The large sample representations of the test statistics in terms of integrals of Wiener processes are obtained. These facilitate the tabulation of the large sample distribution of the statistics. Some empirical results are reported. © 1991 Biometrika Trust.link_to_subscribed_fulltex
We propose in this article the use of a particular version of the tests of Robinson (1994) for testi...
We introduce a framework which allows us to draw a clear parallel between the test for the presence ...
textabstractWe consider the problem of testing for seasonal unit roots in monthly panel data. To th...
Determining whether a time series has a unit root is an important problem in many time series analys...
This paper introduces Lagrange multiplier tests of the null hypothesis of no unit roots at seasonal ...
Some Lagrange multiplier tests for seasonal differencing are proposed; their main objective is to av...
summary: a new test for the presence of seasonal unit roots in a quarterly time series, i.e. for sea...
This paper develops an outer product gradient (OPG) form of the Lagrange multiplier (LM) statistic f...
Part of the increasing interest in the treatment of seasonality in economic time series has focused ...
This paper addresses the problem of testing for the presence of unit autoregressive roots in seasona...
Les procédures standards pour tester la présence de racines unitaires aux fréquences saisonnières so...
It is shown that in a first-order mixed autoregressive moving average model, a Lagrange multiplier t...
textabstractIn this paper, we present tables with critical values for a variety of tests for seasona...
This paper considers tests for seasonal and non-seasonal serial correlation in time series and in th...
We propose in this article the use of a particular version of the tests of Robinson (1994) for testi...
We propose in this article the use of a particular version of the tests of Robinson (1994) for testi...
We introduce a framework which allows us to draw a clear parallel between the test for the presence ...
textabstractWe consider the problem of testing for seasonal unit roots in monthly panel data. To th...
Determining whether a time series has a unit root is an important problem in many time series analys...
This paper introduces Lagrange multiplier tests of the null hypothesis of no unit roots at seasonal ...
Some Lagrange multiplier tests for seasonal differencing are proposed; their main objective is to av...
summary: a new test for the presence of seasonal unit roots in a quarterly time series, i.e. for sea...
This paper develops an outer product gradient (OPG) form of the Lagrange multiplier (LM) statistic f...
Part of the increasing interest in the treatment of seasonality in economic time series has focused ...
This paper addresses the problem of testing for the presence of unit autoregressive roots in seasona...
Les procédures standards pour tester la présence de racines unitaires aux fréquences saisonnières so...
It is shown that in a first-order mixed autoregressive moving average model, a Lagrange multiplier t...
textabstractIn this paper, we present tables with critical values for a variety of tests for seasona...
This paper considers tests for seasonal and non-seasonal serial correlation in time series and in th...
We propose in this article the use of a particular version of the tests of Robinson (1994) for testi...
We propose in this article the use of a particular version of the tests of Robinson (1994) for testi...
We introduce a framework which allows us to draw a clear parallel between the test for the presence ...
textabstractWe consider the problem of testing for seasonal unit roots in monthly panel data. To th...