Dear All,
I am doing a time series regression with one dependent time series variable,
7 independent time series variables and 32 annual observations in an attempt
to model the demand for higher education. The dependent variable is
Enrollment and the independent variables are like tuition, income and so on.
The main purpose of my analysis is to investigate the impact of economic
factors (like tuition and income) on enrollment. I am considering an error
correction model of the form:
diff(lnY(t))=a+b1*lnY(t-1)+b2*lnX(t-1)+b3*diff(lnX(t))+error
to model the demand and solve the problem of cointegration, autocorrelation
and multicollinearity. But this is not been able to solve all these
problems. Is that a right way to estimate the elacticities?
Any suggestion how to built a good model that solves these problems? I
appreciate your help.
Thanks,
Bereket

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