. cate po (assets \$catecovars) (e401k), rseed(12345671) controls(\$controls) nol
> og
{\smallskip}
Conditional average treatment effects     Number of observations       = 9,913
Estimator:       Partialing out           Number of folds in cross-fit =    10
Outcome model:   Linear lasso             Number of outcome controls   =    47
Treatment model: Logit lasso              Number of treatment controls =    47
CATE model:      Random forest            Number of CATE variables     =    17
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
             {\VBAR}               Robust
      assets {\VBAR} Coefficient  std. err.      z    P>|z|     [95\% conf. interval]
\HLI{13}{\PLUS}\HLI{64}
ATE          {\VBAR}
       e401k {\VBAR}
  (Eligible  {\VBAR}
         vs  {\VBAR}
Not elig..)  {\VBAR}   8107.563   1144.817     7.08   0.000     5863.763    10351.36
\HLI{13}{\PLUS}\HLI{64}
POmean       {\VBAR}
       e401k {\VBAR}
Not eligi..  {\VBAR}   13902.88   838.5924    16.58   0.000     12259.27    15546.49
\HLI{13}{\BOTT}\HLI{64}
