S
Søren Johansen
Researcher at University of Copenhagen
Publications - 237
Citations - 71409
Søren Johansen is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Autoregressive model & Cointegration. The author has an hindex of 55, co-authored 235 publications receiving 68090 citations. Previous affiliations of Søren Johansen include Imperial College London & Aarhus University.
Papers
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Journal ArticleDOI
Statistical analysis of cointegration vectors
TL;DR: In this paper, the authors consider a nonstationary vector autoregressive process which is integrated of order 1, and generated by i.i.d. Gaussian errors, and derive the maximum likelihood estimator of the space of cointegration vectors and the likelihood ratio test of the hypothesis that it has a given number of dimensions.
Journal ArticleDOI
Maximum likelihood estimation and inference on cointegration — with applications to the demand for money
Søren Johansen,Katarina Juselius +1 more
TL;DR: In this paper, the estimation and testing of long-run relations in economic modeling are addressed, starting with a vector autoregressive (VAR) model, the hypothesis of cointegration is formulated as a hypothesis of reduced rank of the long run impact matrix.
Maximun likelihood estimation and inference on cointegration - With applications to the demand for money
Søren Johansen,Katarina Juselius +1 more
Journal ArticleDOI
Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models
TL;DR: In this article, the authors derived the likelihood analysis of vector autoregressive models allowing for cointegration and showed that the asymptotic distribution of the maximum likelihood estimator of the cointegrating relations can be found by reduced rank regression and derives the likelihood ratio test of structural hypotheses about these relations.
Book
Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
TL;DR: In this paper, a detailed mathematical and statistical analysis of the cointegrated vector autoregresive model is given, with the main emphasis on the derivation of estimators and test statistics through a consistent use of the Guassian likelihood function.