The empirical literature making use of unit root and cointegration tests has been growing over the last two decades. The application of those tests is challenging for many reasons including the treatment of deterministic terms (constant and trend) and structural breaks. Franses (2001) addresses the problem of how to deal with intercept and trend in practical cointegration analysis. In this chapter, the same approach is applied to the treatment of structural breaks in VAR models used to test for unit roots and cointegration
By pointing out the spurious regression problem, Granger and Newbold (1974) have shown the importanc...
We propose a multiple hypothesis testing approach to assess structural stability in cointegrating re...
This paper provides an updated survey of a burgeoning literature on testing, estimation and model sp...
Structural breaks in stationary time series can induce apparent unit roots in those series. Thus, us...
Abstract: The paper describes a procedure for decomposing the deterministic terms in cointegrated VA...
It is well known that all the test for unit roots and cointegration depend on the deterministic elem...
When analysing macroeconomic data it is often of relevance to allow for structural breaks in the sta...
When analysing macroeconomic data it is often of relevance to allow for structural breaks in the sta...
This review discusses methods of testing for a cointegration in a time series in the presence of str...
We propose a test that examines the null of cointegration while allowing for a structural break in t...
Testing for multivariate cointegration when the data exhibit structural breaks is a problem that is ...
The presence of a binary variable in the cointegrated VAR (CVAR) model is most often interpreted as ...
Sample size of data, presence of structural break, location and magnitude of potential break, and ha...
This paper develops a very simple test for the null hypothesis of no cointegration in panel data. Th...
This article proposes Lagrange multiplier-based tests for the null hypothesis of no cointegration. T...
By pointing out the spurious regression problem, Granger and Newbold (1974) have shown the importanc...
We propose a multiple hypothesis testing approach to assess structural stability in cointegrating re...
This paper provides an updated survey of a burgeoning literature on testing, estimation and model sp...
Structural breaks in stationary time series can induce apparent unit roots in those series. Thus, us...
Abstract: The paper describes a procedure for decomposing the deterministic terms in cointegrated VA...
It is well known that all the test for unit roots and cointegration depend on the deterministic elem...
When analysing macroeconomic data it is often of relevance to allow for structural breaks in the sta...
When analysing macroeconomic data it is often of relevance to allow for structural breaks in the sta...
This review discusses methods of testing for a cointegration in a time series in the presence of str...
We propose a test that examines the null of cointegration while allowing for a structural break in t...
Testing for multivariate cointegration when the data exhibit structural breaks is a problem that is ...
The presence of a binary variable in the cointegrated VAR (CVAR) model is most often interpreted as ...
Sample size of data, presence of structural break, location and magnitude of potential break, and ha...
This paper develops a very simple test for the null hypothesis of no cointegration in panel data. Th...
This article proposes Lagrange multiplier-based tests for the null hypothesis of no cointegration. T...
By pointing out the spurious regression problem, Granger and Newbold (1974) have shown the importanc...
We propose a multiple hypothesis testing approach to assess structural stability in cointegrating re...
This paper provides an updated survey of a burgeoning literature on testing, estimation and model sp...