Dear Statalists,
i ran three different regressions with each 4 different specifications. I stored each of the specifcations with eststo and created three different tables for each regression with its 4 specifications:
esttab Row1_F Row1_Fc Row1_M Row1_Mc, se ar2 keep (T_SH)
esttab Row2_F Row2_Fc Row2_M Row2_Mc, se ar2 keep (Z_SH)
esttab Row3_F Row3_Fc Row3_M Row3_Mc, se ar2 keep (T_SH)
Which resulted in this output:
Table 1:
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
T_SH 0.000294 0.00426* 0.0770*** 0.0329***
(0.00160) (0.00159) (0.00664) (0.00335)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
adj. R-sq 0.003 0.011 0.022 0.072
----------------------------------------------------------------------------
Table 2:
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
Z_SH -0.00454 -0.00353 -0.00171 -0.000402
(0.00204) (0.00183) (0.00358) (0.00306)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
adj. R-sq 0.003 0.011 0.015 0.072
----------------------------------------------------------------------------
Table 3:
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
T_SH -0.101 -0.0818 -0.0704 -0.0174
(0.123) (0.110) (0.256) (0.243)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
adj. R-sq . -0.001 0.009 0.073
----------------------------------------------------------------------------
Is there a way to combine the tables to receive the following table?
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
T_SH 0.000294 0.00426* 0.0770*** 0.0329***
(0.00160) (0.00159) (0.00664) (0.00335)
----------------------------------------------------------------------------
Z_SH -0.00454 -0.00353 -0.00171 -0.000402
(0.00204) (0.00183) (0.00358) (0.00306)
----------------------------------------------------------------------------
T_SH -0.101 -0.0818 -0.0704 -0.0174
(0.123) (0.110) (0.256) (0.243)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
----------------------------------------------------------------------------
Thank you in advance!
Sincerely,
Adrian
i ran three different regressions with each 4 different specifications. I stored each of the specifcations with eststo and created three different tables for each regression with its 4 specifications:
esttab Row1_F Row1_Fc Row1_M Row1_Mc, se ar2 keep (T_SH)
esttab Row2_F Row2_Fc Row2_M Row2_Mc, se ar2 keep (Z_SH)
esttab Row3_F Row3_Fc Row3_M Row3_Mc, se ar2 keep (T_SH)
Which resulted in this output:
Table 1:
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
T_SH 0.000294 0.00426* 0.0770*** 0.0329***
(0.00160) (0.00159) (0.00664) (0.00335)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
adj. R-sq 0.003 0.011 0.022 0.072
----------------------------------------------------------------------------
Table 2:
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
Z_SH -0.00454 -0.00353 -0.00171 -0.000402
(0.00204) (0.00183) (0.00358) (0.00306)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
adj. R-sq 0.003 0.011 0.015 0.072
----------------------------------------------------------------------------
Table 3:
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
T_SH -0.101 -0.0818 -0.0704 -0.0174
(0.123) (0.110) (0.256) (0.243)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
adj. R-sq . -0.001 0.009 0.073
----------------------------------------------------------------------------
Is there a way to combine the tables to receive the following table?
----------------------------------------------------------------------------
(1) (2) (3) (4)
workF workF workM workM
----------------------------------------------------------------------------
T_SH 0.000294 0.00426* 0.0770*** 0.0329***
(0.00160) (0.00159) (0.00664) (0.00335)
----------------------------------------------------------------------------
Z_SH -0.00454 -0.00353 -0.00171 -0.000402
(0.00204) (0.00183) (0.00358) (0.00306)
----------------------------------------------------------------------------
T_SH -0.101 -0.0818 -0.0704 -0.0174
(0.123) (0.110) (0.256) (0.243)
----------------------------------------------------------------------------
N 39581 37714 37714 37714
----------------------------------------------------------------------------
Thank you in advance!
Sincerely,
Adrian
