Some recent work on the analysis of nonlinear and nonstationary time series models is reviewed. A couple of novel results are obtained in extending nonlinear cointegrating regression models to a time series situation. All through the paper focus is on aspects that could lead to a more well-defined concept of nonlinear cointegration.publishedVersio
In this paper we propose several statistics to measure serial dependence that are useful to characte...
This paper studies nonlinear cointegration models in which the structural coefficients may evolve sm...
Non-linear Cointegration : a Discussion of Methodology. The aim of this paper is to present recent c...
In recent years statistical inference for nonlinear cointegration has attracted attention from both ...
In this paper, we look for new opportunities that can be exploited using some of the recent developm...
The relationships between stochastic trending variables given by the concepts of cointegration and e...
The relationship between cointegration and error correction (EC) models is well characterized in a l...
Traditional linear cointegration models have been widely used to examine longrun relationships betwe...
This paper is devoted to presenting wider characterizations of memory and cointegration in time seri...
The relationship between cointegration and error correction (EC) models is well characterized in a l...
In this note we discuss some important issues in regression models for non-statio-nary time series. ...
In empirical studies, practitioners routinely adopt linear models as approximations to complicated e...
In this paper we propose a method for testing the hypothesis of cointegration in pairs of univariate...
In this paper, we introduce threshold-type nonlinearities within a single-equation cointegrating reg...
Recent developments in nonstationary time series and cointegration are discussed and three new books...
In this paper we propose several statistics to measure serial dependence that are useful to characte...
This paper studies nonlinear cointegration models in which the structural coefficients may evolve sm...
Non-linear Cointegration : a Discussion of Methodology. The aim of this paper is to present recent c...
In recent years statistical inference for nonlinear cointegration has attracted attention from both ...
In this paper, we look for new opportunities that can be exploited using some of the recent developm...
The relationships between stochastic trending variables given by the concepts of cointegration and e...
The relationship between cointegration and error correction (EC) models is well characterized in a l...
Traditional linear cointegration models have been widely used to examine longrun relationships betwe...
This paper is devoted to presenting wider characterizations of memory and cointegration in time seri...
The relationship between cointegration and error correction (EC) models is well characterized in a l...
In this note we discuss some important issues in regression models for non-statio-nary time series. ...
In empirical studies, practitioners routinely adopt linear models as approximations to complicated e...
In this paper we propose a method for testing the hypothesis of cointegration in pairs of univariate...
In this paper, we introduce threshold-type nonlinearities within a single-equation cointegrating reg...
Recent developments in nonstationary time series and cointegration are discussed and three new books...
In this paper we propose several statistics to measure serial dependence that are useful to characte...
This paper studies nonlinear cointegration models in which the structural coefficients may evolve sm...
Non-linear Cointegration : a Discussion of Methodology. The aim of this paper is to present recent c...