Asymptotic theory for the estimation of nonlinear vector error correction mod-els (VECM) that exhibit regime-speci\u85c short-run dynamics is developed. In par-ticular, regimes are determined by the error correction term and the transition between regimes is allowed to be discontinuous, as in e.g. threshold cointegration. Several nonregular problems are resolved. First of all, consistencysquare root n consistency for the cointegrating vector is established for the least squares estimation of this general class of models. Second, the convergence rates are ob-tained for the least squares of threshold cointegration, which are n3=2 and n for and; respectively, where denotes the threshold parameter. This fast rate for in itself is practically ...
Abstract _ This paper has three main components. First, it outlines a model of non-linear error cor...
We propose a testing procedure for assessing the presence of threshold effects in nonstationary vect...
The principal objective of this study is to explore nonparametric testing for linearity in the long-...
Asymptotic inference in nonlinear vector error correction models (VECM) that exhibit regime-specific...
Asymptotic theory for the estimation of nonlinear vector error correction models that exhibit regime...
The relationships between stochastic trending variables given by the concepts of cointegration and e...
This paper studies testing for the presence of smooth transition nonlinearity in adjustment paramete...
This paper studies testing for the presence of smooth transition nonlinearity in adjustment paramete...
The relationship between co integration an error correction models (EC) is well characterized in a l...
This work provides a comparison of methodologies for applied research in price transmission analysis...
In this paper we propose a testing procedure for assessing the presence of threshold effects in nons...
The relationship between cointegration and error correction (EC) models is well characterized in a l...
textabstractIn this paper we investigate empirical specification of smooth transition error correcti...
In this paper we investigate the forecast performance of nonlinear error‐correction models with regi...
Abstract — This work provides a comparison of methodologies for applied research in price transmissi...
Abstract _ This paper has three main components. First, it outlines a model of non-linear error cor...
We propose a testing procedure for assessing the presence of threshold effects in nonstationary vect...
The principal objective of this study is to explore nonparametric testing for linearity in the long-...
Asymptotic inference in nonlinear vector error correction models (VECM) that exhibit regime-specific...
Asymptotic theory for the estimation of nonlinear vector error correction models that exhibit regime...
The relationships between stochastic trending variables given by the concepts of cointegration and e...
This paper studies testing for the presence of smooth transition nonlinearity in adjustment paramete...
This paper studies testing for the presence of smooth transition nonlinearity in adjustment paramete...
The relationship between co integration an error correction models (EC) is well characterized in a l...
This work provides a comparison of methodologies for applied research in price transmission analysis...
In this paper we propose a testing procedure for assessing the presence of threshold effects in nons...
The relationship between cointegration and error correction (EC) models is well characterized in a l...
textabstractIn this paper we investigate empirical specification of smooth transition error correcti...
In this paper we investigate the forecast performance of nonlinear error‐correction models with regi...
Abstract — This work provides a comparison of methodologies for applied research in price transmissi...
Abstract _ This paper has three main components. First, it outlines a model of non-linear error cor...
We propose a testing procedure for assessing the presence of threshold effects in nonstationary vect...
The principal objective of this study is to explore nonparametric testing for linearity in the long-...