我的数据集中有四个假人。
如何在单个输出中加入不同的esttab结果？
因为我计划添加更多的虚拟对象，这对我真的很有帮助。
当前我有这个，必须在excel上将其合并：
quietly estpost sum HDI ECI GI TX GS BF LF MF TF IF FF
esttab, cell((count mean Var sd)) nonumber nomtitle title("Estatísticas Discritivas")
quietly estpost sum HDI ECI GI TX GS BF LF MF TF IF FF if HI==1
esttab, cell((count mean Var sd)) nonumber nomtitle title("Estatísticas Discritivas")
quietly estpost sum HDI ECI GI TX GS BF LF MF TF IF FF if UMI==1
esttab, cell((count mean Var sd)) nonumber nomtitle title("Estatísticas Discritivas")
quietly estpost sum HDI ECI GI TX GS BF LF MF TF IF FF if LMI==1
esttab, cell((count mean Var sd)) nonumber nomtitle title("Estatísticas Discritivas")
quietly estpost sum HDI ECI GI TX GS BF LF MF TF IF FF if LI==1
esttab, cell((count mean Var sd)) nonumber nomtitle title("Estatísticas Discritivas")
答案 0 :(得分：2)
您只需要使用eststo存储单个结果：
sysuse auto, clear
estpost sum mpg price weight
eststo m1
estpost sum mpg price weight if foreign == 0
eststo m2
estpost sum mpg price weight if foreign == 1
eststo m3
垂直显示：
esttab m1 m2 m3, cell(count mean Var sd) nonumber nomtitle title("Custom Title")
Custom Title
---------------------------------------------------
count/mean~d count/mean~d count/mean~d
---------------------------------------------------
mpg 74 52 22
21.2973 19.82692 24.77273
33.47205 22.49887 43.70779
5.785503 4.743297 6.611187
price 74 52 22
6165.257 6072.423 6384.682
8699526 9592055 6874439
2949.496 3097.104 2621.915
weight 74 52 22
3019.459 3317.115 2315.909
604029.8 483530.7 187492
777.1936 695.3637 433.0035
---------------------------------------------------
N 74 52 22
---------------------------------------------------
水平显示：
esttab m1 m2 m3, cell((count mean Var sd)) nonumber nomtitle title("Custom Title")
Custom Title
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
count mean Var sd count mean Var sd count mean Var sd
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
mpg 74 21.2973 33.47205 5.785503 52 19.82692 22.49887 4.743297 22 24.77273 43.70779 6.611187
price 74 6165.257 8699526 2949.496 52 6072.423 9592055 3097.104 22 6384.682 6874439 2621.915
weight 74 3019.459 604029.8 777.1936 52 3317.115 483530.7 695.3637 22 2315.909 187492 433.0035
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
N 74 52 22
------------------------------------------------------------------------------------------------------------------------------------------------------------------------