大家新年好,我最近写文章做模型的时候,需要控制年份的固定效应和企业的固定效应。我的老师建议我用areg这个命令来进行回归,以下是我的方程:
areg roa D02 EFD D02EFD D02EFDroa size lnage lnL state export hhi_sale states exports Dum_yr2-Dum_yr9 ,absorb(code) r
以下是回归结果:
Linear regression, absorbing indicators Number of obs = 619184
F( 19, 439155) = 1210.68
Prob > F = 0.0000
R-squared = 0.8423
Adj R-squared = 0.7776
Root MSE = 0.1004
------------------------------------------------------------------------------
| Robust
roa | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
D02 | .0140038 .0071135 1.97 0.049 .0000615 .0279461
EFD | -.0380737 .0106458 -3.58 0.000 -.0589391 -.0172083
D02EFD | -.0615075 .011351 -5.42 0.000 -.083755 -.0392599
D02EFDroa | 1.362032 .0150606 90.44 0.000 1.332514 1.39155
size | -.0259835 .0009589 -27.10 0.000 -.027863 -.024104
lnage | -.0037457 .0003954 -9.47 0.000 -.0045207 -.0029706
lnL | .0042924 .0007004 6.13 0.000 .0029197 .0056651
state | -.0098786 .0005487 -18.00 0.000 -.010954 -.0088033
export | .0025427 .0008011 3.17 0.002 .0009725 .0041128
hhi_sale | .0191866 .0097687 1.96 0.050 .0000403 .038333
states | -.0212142 .0031968 -6.64 0.000 -.0274799 -.0149484
exports | -.0006084 .0097571 -0.06 0.950 -.0197319 .0185152
Dum_yr2 | .0018291 .0007851 2.33 0.020 .0002904 .0033678
Dum_yr3 | .0027374 .0007931 3.45 0.001 .001183 .0042918
Dum_yr4 | .0041607 .0019111 2.18 0.029 .000415 .0079064
Dum_yr5 | -.0164793 .0006837 -24.10 0.000 -.0178193 -.0151393
Dum_yr6 | -.0116753 .0005442 -21.45 0.000 -.0127419 -.0106086
Dum_yr7 | -.0078325 .0005101 -15.35 0.000 -.0088323 -.0068327
Dum_yr8 | -.0044668 .0003149 -14.18 0.000 -.005084 -.0038496
Dum_yr9 | 0 (omitted)
_cons | .3272863 .0089219 36.68 0.000 .3097996 .3447729
-------------+----------------------------------------------------------------
code | absorbed (180010 categories)
问题是,直接将Dum_yr2-Dum_yr9放进去,变量显著就是控制年份固定效应了吗?absorb(code)就代表了控制企业固定效应了吗?(code表示企业代码)code只是代码而已,不是虚拟变量,没有进行过处理的。。。如果不是的话,请问要怎样改命令?


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