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Re: st: Remedy for serial correlation in Panel Data


From   San K <devank@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Remedy for serial correlation in Panel Data
Date   Fri, 13 Apr 2012 23:54:12 +1000

I tried the xtregar on models as David suggested.

Model 1: using one lag of the dependant
xtregar ConsDayAvgLN L1.ConsDayAvgLN waitedAvgPrice Rain tempC Evap
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec, fe

Results:
        rho_ar |  .06241197
       sigma_u |  .22515903
       sigma_e |  .15550244
       rho_fov |  .67705949   (fraction of variance because of u_i)
--------------------------------------------------------------------------------
F test that all u_i=0:     F(2510,47692) =     6.24          Prob > F = 0.0000


Model 4: using 4th lag of the dependant (since it is a quarterly metered data)
xtregar ConsDayAvgLN L4.ConsDayAvgLN waitedAvgPrice Rain tempC Evap
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec, fe

        rho_ar |  .48774083
       sigma_u |  .36213708
       sigma_e |  .15382504
       rho_fov |  .84714912   (fraction of variance because of u_i)
--------------------------------------------------------------------------------
F test that all u_i=0:     F(2510,40159) =     8.83          Prob > F = 0.0000

How do I interpret these results?
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