ABSTRACT
In the previous chapter we introduced the partial adjustment model, a popular method used in practice to approximate the short-run dynamic adjustments and hence the data generation process. This chapter continues with the SG methodology and explains in detail how this methodology deals with the short-run dynamic adjustments via the introduction of various lag structures into the regression models.
