An alternative approach to estimation of structural vector error correction models with long-run restrictions

This paper presents an alternative approach to two-step maximum likelihood estimation of structural vector error correction models that are partially identified with long-run restrictions. We generalize the existing literature by allowing for over-identifying restrictions.