Hansen and Seo (2002) outline procedures to test for threshold cointegration, and to estimate a bi-variate model. However, in their conclusion they note that future research will have to find a way of estimating larger systems with multiple cointegrating vectors. This paper proposes a new algorithm that can be used to estimate such models. Simulation experiments are used to compare the algorithm´s performance with that of Hansen and Seo, and a practical application to the term structure of UK interest rates is also presented.Nonlinearity, Cointegration, Term Structure.
Traditional linear cointegration models have been widely used to examine longrun relationships betwe...
We propose a new method to determine the cointegration rank in the error correction model of Engle a...
In this paper, we introduce threshold-type nonlinearities within a single-equation cointegrating reg...
Hansen and Seo (2002) outline procedures to test for threshold cointegration, and to estimate a bi-v...
The cointegration literature suggests that forecast errors may be reduced by incorporating the knowl...
Threshold Error Correction Models are used to analyse the term structure of interest Rates. The pape...
This article considers cointegration rank estimation for a p-dimensional fractional vector error cor...
The paper addresses the practical determination of cointegration rank. This is difficult for many re...
textabstractWe propose in this paper a likelihood-based framework for cointegration analysis in pane...
We propose in this paper a likelihood-based framework for cointegration analysis in panels of a fixe...
The paper addresses the empirical application of multivariate cointegration analysis to a small mode...
textabstractIn this paper we investigate empirical specification of smooth transition error correcti...
In this paper we introduce threshold type nonlinearities within a single equation cointegrat-ing reg...
This paper describes a three-step algorithm for estimating a system of error-correction equations th...
Using simulations, the paper shows that there is a trade−off in using CLS and 2SLS on the one hand a...
Traditional linear cointegration models have been widely used to examine longrun relationships betwe...
We propose a new method to determine the cointegration rank in the error correction model of Engle a...
In this paper, we introduce threshold-type nonlinearities within a single-equation cointegrating reg...
Hansen and Seo (2002) outline procedures to test for threshold cointegration, and to estimate a bi-v...
The cointegration literature suggests that forecast errors may be reduced by incorporating the knowl...
Threshold Error Correction Models are used to analyse the term structure of interest Rates. The pape...
This article considers cointegration rank estimation for a p-dimensional fractional vector error cor...
The paper addresses the practical determination of cointegration rank. This is difficult for many re...
textabstractWe propose in this paper a likelihood-based framework for cointegration analysis in pane...
We propose in this paper a likelihood-based framework for cointegration analysis in panels of a fixe...
The paper addresses the empirical application of multivariate cointegration analysis to a small mode...
textabstractIn this paper we investigate empirical specification of smooth transition error correcti...
In this paper we introduce threshold type nonlinearities within a single equation cointegrat-ing reg...
This paper describes a three-step algorithm for estimating a system of error-correction equations th...
Using simulations, the paper shows that there is a trade−off in using CLS and 2SLS on the one hand a...
Traditional linear cointegration models have been widely used to examine longrun relationships betwe...
We propose a new method to determine the cointegration rank in the error correction model of Engle a...
In this paper, we introduce threshold-type nonlinearities within a single-equation cointegrating reg...