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Re: st: fixed effects with clustered standard errors


From   "David M. Drukker, StataCorp" <[email protected]>
To   [email protected]
Subject   Re: st: fixed effects with clustered standard errors
Date   Thu, 07 Jul 2005 16:45:42 -0500

Mario Macis <[email protected]> wrote that he could not use the cluster
option with -xtreg, fe-.  This is no longer the case.  In Stata 9, -xtreg,
fe- and -xtreg, re- offer the cluster option.  Here is an example:

. webuse productivity
(Public Capital Productivity)

. xtreg gsp private emp hwy other unemp , fe i(state) cluster(region )

Fixed-effects (within) regression               Number of obs      =       816
Group variable (i): state                       Number of groups   =        48

R-sq:  within  = 0.9437                         Obs per group: min =        17
       between = 0.9914                                        avg =      17.0
       overall = 0.9903                                        max =        17

                                                F(5,763)           =   2967.05
corr(u_i, Xb)  = -0.0738                        Prob > F           =    0.0000

                                 (Std. Err. adjusted for 9 clusters in region)
------------------------------------------------------------------------------
             |               Robust
         gsp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     private |   .2921657   .0759316     3.85   0.005     .1170671    .4672643
         emp |   .8158864   .1047938     7.79   0.000     .5742314    1.057541
         hwy |   .0637546   .0726944     0.88   0.406     -.103879    .2313882
       other |   -.104222   .0735739    -1.42   0.194    -.2738836    .0654396
       unemp |  -.0045554   .0031479    -1.45   0.186    -.0118144    .0027037
       _cons |   2.103227   .3677966     5.72   0.000     1.255087    2.951368
-------------+----------------------------------------------------------------
     sigma_u |  .09486872
     sigma_e |  .03739811
         rho |  .86550056   (fraction of variance due to u_i)
------------------------------------------------------------------------------

      --David
        [email protected]

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