Transcription of ARDL Cointegration Tests for Beginner - UM
{{id}} {{{paragraph}}}
1 ARDL Cointegration Tests for Beginner Tuck Cheong TANG Department of Economics, Faculty of Economics & Administration University of Malaya Email: DURATION: 3 HOURS On completing this workshop you should be able to: understand the concepts of Cointegration and its application as well. perform Cointegration Tests by using eviews software; and interpret the outputs and estimates. 1. UNIT ROOT TEST An estimate of OLS (ordinary least squared) regression model can spurious from regressing nonstationary series with no long-run relationship (or no Cointegration ) (Engle and Granger, 1987). Stationary a series fluctuates around a mean value with a tendency to converge to the mean. For example:- 1962196719721977198219871992199720022015 1050-5 Malaysia: Consum er price index: Inflation rate%pa Non-statioanry a series wanders widely without any tendency to converge; it is relatively smooth.
perform cointegration tests by using EViews software; and interpret the outputs and estimates. 1. UNIT ROOT TEST An estimate of OLS (ordinary least squared) regression model can spurious from regressing nonstationary series with no long-run relationship (or no cointegration) (Engle and Granger, 1987).
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}