Efficient inference on cointegration parameters in structural error correction models

摘要: Abstract This paper proposes inferential procedures for error correction models in structural form. Particular attention is paid to the issues of exogeneity conditioning variables and identification cointegration parameters as well short-run parameters. The model leads two classes estimators associated test statistics, depending on status variables. A Monte Carlo experiment shows how their asymptotic properties are reflected finite sample behaviour.