We propose a monitoring procedure to detect a structural change from stationary to integrated behavior. When the procedure is applied to the errors of a relationship between integrated series it thus monitors a structural change from a cointegrating relationship to a spurious regression. The...

This study estimates cointegration models by applying the Engle-Granger (1989) two-step es-timation procedure, the Phillip-Ouliaris (1990) residual-based test and Johansen's multivariatetechnique. The cointegration techniques are tested on the Raotbl3 data set, the World EconomicIndicators data...

A framework for developing marketing category management decision support systems (DSS) based upon the Bayesian Vector Autoregressive (BVAR) model is extended. Since the BVAR model is vulnerable to permanent and temporary shifts in purchasing patterns over time, a form that can correct for the...

Purpose The purpose of this paper is to review and evaluate the methods commonly used in accounting literature to correct for cointegrated data and data that are neither stationary nor cointegrated. Design/methodology/approach The authors conducted Monte Carlo simulations according to Baltagi et...

The present study estimates the long run private investment function for the period from 1972 to 2011 by using Johansen cointegration approach. The results suggest debt servicing, inflation and private investment to be negatively associated. The study concludes positive impact of GDP growth...