Identification of the long-run and the short-run structure an application to the ISLM model
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The problem of identification in a model with cointegration is discussed and a criterion for a statistical model to be identifying is given and a switching algorithm for calculating the restricted parameters is proposed.
Abstract
In this paper we discuss the problem of identification in a model with cointegration. It is pointed out that there is an identification problem for both long-run parameters and short-run parameters. The identification of the equations and the cointegrating relations is achieved by linear restrictions on the parameters and a criterion for a statistical model to be identifying is given. We also define empirical identification of an estimated structure. A switching algorithm for calculating the restricted parameters is proposed. The concepts are illustrated with an empirical analysis of the ISLM model using Australian monetary data.
