A Structural Vector Error Correction Model with Short-run and Long-run Restrictions
Kyungho Jang
Abstract
Open-access reader
Kyungho Jang
Abstract
Open-access reader
We consider structural vector error correction models (VECMs) in which permanent shocks are partially identified with a set of long-run restrictions, and fully identified with an additional set of short-run restrictions. An identification method with a combination of short-run and long-run restrictions has been studied in the vector autoregressive models literature, but not thoroughly applied to the VECM framework. There exists a separation in the literature; permanent shocks are identified with long-run restrictions while transitory shocks are identified with short-run restrictions. This paper's innovation is the identification of permanent shocks using both horizontal restrictions.
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We consider structural vector error correction models (VECMs) in which permanent shocks are partially identified with a set of long-run restrictions, and fully identified with an additional set of short-run restrictions. An identification method with a combination of short-run and long-run restrictions has been studied in the vector autoregressive models literature, but not thoroughly applied to the VECM framework. There exists a separation in the literature; permanent shocks are identified with long-run restrictions while transitory shocks are identified with short-run restrictions. This paper's innovation is the identification of permanent shocks using both horizontal restrictions.
Key concepts: Short run, Error correction model, Identification (biology), Autoregressive model, Econometrics, Run-out, Economics, Set (abstract data type)