stata - 输出带边距的变量值标签，dydx()

Question

有没有办法报告变量值标签而不是Stata margins 的默认输出使用 dydx() 时的命令选项？

例如，当使用 margins 时，没有 dydx() ，输出使用 sex 的值标签:

clear
use http://www.stata-press.com/data/r14/margex

regress y i.sex i.group
margins sex

但是，当使用 dydx() 时值(value)标签消失了:

margins, dydx(sex) at(group = (1 2 3))

我在 margins 中找不到任何设置选项这将迫使这一点。

它看起来不像是社区贡献的命令，例如 esttab也能做到这一点。

交叉发布于 Statalist .

Answer 1

这与at()有关选项不是 dydx() .

正确的语法如下:

. margins, dydx(sex) at(1.group 2.group 3.group)  

Conditional marginal effects                    Number of obs     =      3,000
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : 1.sex
at           : 1.group         =    .3996667 (mean)
               2.group         =    .3726667 (mean)
               3.group         =    .2276667 (mean)

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         sex |
     female  |   18.32202   .8930951    20.52   0.000     16.57088    20.07316
------------------------------------------------------------------------------
Note: dy/dx for factor levels is the discrete change from the base level.

将此与您的语法进行比较:

. margins, dydx(sex) at (group = (1 2 3))

Conditional marginal effects                    Number of obs     =      3,000
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : 1.sex

1._at        : group           =           1

2._at        : group           =           2

3._at        : group           =           3

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.sex        |
         _at |
          1  |   18.32202   .8930951    20.52   0.000     16.57088    20.07316
          2  |   18.32202   .8930951    20.52   0.000     16.57088    20.07316
          3  |   18.32202   .8930951    20.52   0.000     16.57088    20.07316
------------------------------------------------------------------------------
Note: dy/dx for factor levels is the discrete change from the base level.