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Cointegration and the Aggregate Demand for Money Function

  • Apostolos Serletis

Abstract

We have argued that in a multivariate context with integrated variables it is important to test for cointegration (i.e., long-run equilibrium relationships). If the variables are integrated of the same order, but not cointegrated, ordinary least squares yields misleading results. In fact, Peter Phillips (1987) formally proves that a regression involving integrated variables is spurious in the absence of cointegration. In this case, the only valid relationship that can exist between the variables is in terms of their first differences.

Keywords

Unit Root Granger Causality Money Demand Error Correction Model Nominal Interest Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Apostolos Serletis
    • 1
  1. 1.University of CalgaryCanada

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