HI there,
I wrote an equation for eliminating autocorrelation as below:
LOGYED =C (1) *(1 –C(2) +C(2) *LOGYED(-1) +C(3) *LOGRHDI –C(2) *C(3) *LOGRHDI(-1) +C(4) *LOGREP –C(2) *C(4) *LOGREP(-1) +C(5) *LOGRGP –C(2) *C(5)LOGRGP(-1) +C(6) *LOGROP –C(2) *C(6) *LOGROP(-1) +C(7) *LOGHS –C(2) *C(7) *LOGHS(-1) +C(8) *LOGHO –C(2) *C(8) *LOGHO(-1)
I am getting syntax error. Can you please guide me.
With kindest regards,
Nagarajan.
eliminating autocorrelation
Moderators: EViews Gareth, EViews Moderator
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: eliminating autocorrelation
You're missing a closing parenethesis. (You may also want to look at the AR(1) command)
-
nagarajan_eviews
- Posts: 4
- Joined: Sat May 19, 2012 3:20 am
Re: eliminating autocorrelation
Thank you for guiding me. I am sorry I had sent the equation with a closing parenthesis error. I have made attempts with the closing parenthesis in place. The response to this is "syntax error". Could you please guide me?
I have used the "(AR(1))" command. The results are not encouraging. They are reproduced below.
As the slope coefficients and t-values for many of the parameters was no satisfactory, I made the attempt to write the detailed equation. Your suggestion for solving this issue will be very helpful.
Thank you.
With kindest regards,
Nagarajan.
I have used the "(AR(1))" command. The results are not encouraging. They are reproduced below.
Code: Select all
Variable Coefficient Std. Error t-Statistic Prob.
C -5.119908 2.156379 -2.374308 0.0192
LOG(RHDI) 0.059019 0.173594 0.339981 0.7345
LOG(REP) -0.009556 0.055912 -0.170911 0.8646
LOG(RGP) -0.012238 0.024809 -0.493290 0.6227
LOG(ROP) 0.035435 0.025956 1.365204 0.1748
LOG(HS) 1.020733 0.368831 2.767483 0.0066
LOG(HO) 1.496640 0.634041 2.360480 0.0199
AR(1) 1.014857 0.017404 58.31175 0.0000
R-squared 0.958616 Mean dependent var 1.928152
Adjusted R-squared 0.956161 S.D. dependent var 0.187613
S.E. of regression 0.039282 Akaike info criterion -3.574718
Sum squared resid 0.182082 Schwarz criterion -3.394636
Log likelihood 233.2072 Hannan-Quinn criter. -3.501556
F-statistic 390.4764 Durbin-Watson stat 2.540073
Prob(F-statistic) 0.000000 As the slope coefficients and t-values for many of the parameters was no satisfactory, I made the attempt to write the detailed equation. Your suggestion for solving this issue will be very helpful.
Thank you.
With kindest regards,
Nagarajan.
Return to “Econometric Discussions”
Who is online
Users browsing this forum: No registered users and 2 guests
