In this paper we propose a double threshold process that generalizes the threshold autoregressive one widely known in the literature. It is characterized by a structure with two thresholds: the first regulates the switching between two autoregressive regimes; the second threshold regulates the switching between the two regimes of the stationary innovations. A testing procedure based on a Wald statistic has been given to evaluate the presence of unit roots in the process against stationarity. The asymptotic distribution of the statistic has been derived and the size and the power of the test have been evaluated through a Monte Carlo study where the proposed test is compared to two competing unit root testing procedures. The results clearly h...
This paper proposes a simple testing procedure to distinguish a unit root process from a globally st...
Unit root testing has been developed through numerous papers since the work of Dickey and Fuller (...
This paper develops a test of the unit root null hypothesis against a stationary threshold process+ ...
In this paper we propose a double threshold process that generalizes the threshold autoregressive on...
In this paper we propose a double threshold process that generalizes the threshold autoregressive on...
In this paper we propose a double threshold process that generalizes the threshold autoregressive on...
The asymptotic distributions of Augmented-Dickey-Fuller (ADF) unit root test statis-tics for autoreg...
The asymptotic distributions of augmented Dickey–Fuller [ADF] unit root tests for autoregressive pro...
The asymptotic distributions of augmented Dickey–Fuller [ADF] unit root tests for autoregressive pro...
The asymptotic distributions of augmented Dickey–Fuller [ADF] unit root tests for autoregressive pro...
The asymptotic distributions of Augmented-Dickey-Fuller (ADF) unit root tests for autoregressive pro...
This paper proposes a simple testing procedure to distinguish a unit root process from a globally st...
Since threshold autoregressive models were discovered, many unit root tests have been developed to t...
This paper proposes a simple direct testing procedure to distinguish a linear unit root process from...
This paper proposes a simple testing procedure to distinguish a unit root process from a globally st...
This paper proposes a simple testing procedure to distinguish a unit root process from a globally st...
Unit root testing has been developed through numerous papers since the work of Dickey and Fuller (...
This paper develops a test of the unit root null hypothesis against a stationary threshold process+ ...
In this paper we propose a double threshold process that generalizes the threshold autoregressive on...
In this paper we propose a double threshold process that generalizes the threshold autoregressive on...
In this paper we propose a double threshold process that generalizes the threshold autoregressive on...
The asymptotic distributions of Augmented-Dickey-Fuller (ADF) unit root test statis-tics for autoreg...
The asymptotic distributions of augmented Dickey–Fuller [ADF] unit root tests for autoregressive pro...
The asymptotic distributions of augmented Dickey–Fuller [ADF] unit root tests for autoregressive pro...
The asymptotic distributions of augmented Dickey–Fuller [ADF] unit root tests for autoregressive pro...
The asymptotic distributions of Augmented-Dickey-Fuller (ADF) unit root tests for autoregressive pro...
This paper proposes a simple testing procedure to distinguish a unit root process from a globally st...
Since threshold autoregressive models were discovered, many unit root tests have been developed to t...
This paper proposes a simple direct testing procedure to distinguish a linear unit root process from...
This paper proposes a simple testing procedure to distinguish a unit root process from a globally st...
This paper proposes a simple testing procedure to distinguish a unit root process from a globally st...
Unit root testing has been developed through numerous papers since the work of Dickey and Fuller (...
This paper develops a test of the unit root null hypothesis against a stationary threshold process+ ...