Dear community,
I need your help.
I am currently running a regression on corruptions effect on economic growth in Malaysia. The data for corruption is only available from 1995 to 2020, so I only have 25 observations. I have 5 independent variables and when I attempt to find the optimal number of lags using the ardl command it comes up with this:
note: L2.lnGOV omitted because of collinearity.
note: L3.lnGOV omitted because of collinearity.
note: L4.lnGOV omitted because of collinearity.
note: Trad omitted because of collinearity.
note: L.Trad omitted because of collinearity.
note: L2.Trad omitted because of collinearity.
note: L3.Trad omitted because of collinearity.
note: L4.Trad omitted because of collinearity.
Any suggestions on what I can do to fix this problem?
I need your help.
I am currently running a regression on corruptions effect on economic growth in Malaysia. The data for corruption is only available from 1995 to 2020, so I only have 25 observations. I have 5 independent variables and when I attempt to find the optimal number of lags using the ardl command it comes up with this:
note: L2.lnGOV omitted because of collinearity.
note: L3.lnGOV omitted because of collinearity.
note: L4.lnGOV omitted because of collinearity.
note: Trad omitted because of collinearity.
note: L.Trad omitted because of collinearity.
note: L2.Trad omitted because of collinearity.
note: L3.Trad omitted because of collinearity.
note: L4.Trad omitted because of collinearity.
Any suggestions on what I can do to fix this problem?
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