The paper illustrates some of the well-known problems with cointegration analysis in order to provide some perspective on the usefulness of cointegration techniques in applied economics. A number of numerical examples are employed to compare econometric estimation on the basis of both traditional autoregressive distributed lag models and currently popular cointegration techniques. The results suggest that, first, cointegration techniques need to be applied with great care and that, second, they have not made traditional econometric techniques obsolete as is often believed.Autoregressive; Co integration; Cointegration; Econometrics; Estimation
Present econometric methodology of inference in cointegrating regression is extended to mildly integ...
We describe the concept of cointegration, its implications in modelling and forecasting, and discuss...
The relationship between cointegration and error correction models, first suggested by Granger, is h...
An overview of the cointegration approach to econometric specification and estimation is provided. A...
'Classical' econometric theory assumes that observed data come from a stationary process, where mean...
Provides a framework for understanding the relationships between alternative cointegrating estimator...
The thesis deals with the concept of cointegration which represents appropriate tool in the analysis...
‘Classical ’ econometric theory assumes that observed data come from a stationary process, where mea...
Abstract We describe the concept of cointegration, its implications in modelling and forecasting, an...
One aspect of the failure of financial econometrics is the use of cointegration analysis for financi...
This paper proposes an alternative estimation method for cointegration, which allows for variation i...
A survey is given of some results obtained for the cointegrated VAR. The Granger representation theo...
Applied cointegration analysis has much to gain from strong links with economic theory. For example,...
We describe the concept of cointegration, its implications in modelling and forecasting, and discuss...
A survey is given of some results obtained for the cointegrated VAR. The Granger representation theo...
Present econometric methodology of inference in cointegrating regression is extended to mildly integ...
We describe the concept of cointegration, its implications in modelling and forecasting, and discuss...
The relationship between cointegration and error correction models, first suggested by Granger, is h...
An overview of the cointegration approach to econometric specification and estimation is provided. A...
'Classical' econometric theory assumes that observed data come from a stationary process, where mean...
Provides a framework for understanding the relationships between alternative cointegrating estimator...
The thesis deals with the concept of cointegration which represents appropriate tool in the analysis...
‘Classical ’ econometric theory assumes that observed data come from a stationary process, where mea...
Abstract We describe the concept of cointegration, its implications in modelling and forecasting, an...
One aspect of the failure of financial econometrics is the use of cointegration analysis for financi...
This paper proposes an alternative estimation method for cointegration, which allows for variation i...
A survey is given of some results obtained for the cointegrated VAR. The Granger representation theo...
Applied cointegration analysis has much to gain from strong links with economic theory. For example,...
We describe the concept of cointegration, its implications in modelling and forecasting, and discuss...
A survey is given of some results obtained for the cointegrated VAR. The Granger representation theo...
Present econometric methodology of inference in cointegrating regression is extended to mildly integ...
We describe the concept of cointegration, its implications in modelling and forecasting, and discuss...
The relationship between cointegration and error correction models, first suggested by Granger, is h...