我最近在做一篇关于非条件分位数处理效应的文章，按照官网命令和数据得到了以下结果，如果我想得到类似条件分位数的处理变量和控制变量的系数，显著性等，该怎么操作，请指点 ivqte lwage (college = nearc4), variance dummy(black) continuous(age fatheduc motheduc) unordered(region)

Unconditional Quantile Treatment Effects under endogeneity
Estimator suggested in Froelich and Melly (2008)

Quantile(s):                 .1 .2 .3 .4 .5 .6 .7 .8 .9
Dependent variable:          lwage
Treatment variable:          college
Instrumental variable:       nearc4
Control variable(s):         age fatheduc motheduc black region
Number of observations:      2220
Proportion of compliers:     .083

Propensity score estimated by local logit regression with h = infinity and lambda = 1
Variance estimated using local logit regression with h = infinity and lambda = 1

------------------------------------------------------------------------------
       lwage |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  Quantile_1 |   .7099233   .5292432     1.34   0.180    -.3273744    1.747221
  Quantile_2 |   .7323012   .3955648     1.85   0.064    -.0429916    1.507594
  Quantile_3 |   .7082763   .4033518     1.76   0.079    -.0822787    1.498831
  Quantile_4 |   .6355395   .4788809     1.33   0.184    -.3030498    1.574129
  Quantile_5 |   .6863055   .5033584     1.36   0.173    -.3002589     1.67287
  Quantile_6 |   .7277389   .4275717     1.70   0.089    -.1102862    1.565764
  Quantile_7 |   .5732856   .3763669     1.52   0.128      -.16438    1.310951
  Quantile_8 |   .6023927   .3332548     1.81   0.071    -.0507748     1.25556
  Quantile_9 |   .6312437   .3666458     1.72   0.085    -.0873689    1.349856
------------------------------------------------------------------------------