textabstractIn the paper we consider the role of seasonal intercepts in seasonal cointegration analysis. For the nonseasonal unit root, such intercepts can generate a stochastic trend with a drift common to all observations. For the seasonal unit roots, however, we show that unrestricted seasonal intercepts generate trends that are different across the seasons. Since such seasonal trends may not appear in economic data, we propose a modified empirical method to test for seasonal cointegration. We evaluate our method using Monte Carlo simulations and using a four-dimensional data set of Austrian macroeconomic variables
textabstractThe quarterly time series of German consumption and income are analyzed with respect to ...
Abstract: The quarterly time series of German consumption a d income are analyzed with respect to se...
We extend the framework of the fully modified, ordinary least squares (OLS) estimator introduced by ...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
In the paper we consider the role of seasonal intercepts in seasonal cointegration analysis. For the...
In the paper we consider the role of seasonal intercepts in seasonal cointegration analysis. For the...
Abstract: Seasonal cointegration generalizes the idea of cointegration to processes with unit roots ...
Stochastic seasonality in vector autoregressions draws attention to seasonal cointegrating vectors. ...
abstract: this paper deals with some of the problems evolving from application of cointegration anal...
abstract: six-variable vector autoregressive systems consisting of macroeconomic series are investig...
textabstractThe quarterly time series of German consumption and income are analyzed with respect to ...
Abstract: The quarterly time series of German consumption a d income are analyzed with respect to se...
We extend the framework of the fully modified, ordinary least squares (OLS) estimator introduced by ...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
Abstract: In the paper we consider the role of seasonal intercepts in seasonal cointegration analysi...
In the paper we consider the role of seasonal intercepts in seasonal cointegration analysis. For the...
In the paper we consider the role of seasonal intercepts in seasonal cointegration analysis. For the...
Abstract: Seasonal cointegration generalizes the idea of cointegration to processes with unit roots ...
Stochastic seasonality in vector autoregressions draws attention to seasonal cointegrating vectors. ...
abstract: this paper deals with some of the problems evolving from application of cointegration anal...
abstract: six-variable vector autoregressive systems consisting of macroeconomic series are investig...
textabstractThe quarterly time series of German consumption and income are analyzed with respect to ...
Abstract: The quarterly time series of German consumption a d income are analyzed with respect to se...
We extend the framework of the fully modified, ordinary least squares (OLS) estimator introduced by ...