Outliers, didn't solve

[Guest]

• Hi everybody
  I have the model below. I found that I have one outlier that has influence on the coefficients. I do not want to drop the outlier. Is there any other way that I can modify the model without dropping the outlier?
• As you see, I did robust but still it did not give me the coefficient close to ones when I dropped the outliers.
• . reg infmort lpcinc lphysic lpopul, hc3
  
  Linear regression Number of obs = 51
  F( 3, 47) = 0.56
  Prob > F = 0.6413
  R-squared = 0.1391
  Root MSE = 2.0581
  
  ------------------------------------------------------------------------------
  | Robust HC3
  infmort | Coef. Std. Err. t P>|t| [95% Conf. Interval]
  -------------+----------------------------------------------------------------
  lpcinc | -4.684585 4.942597 -0.95 0.348 -14.62781 5.258638
  lphysic | 4.153227 7.051872 0.59 0.559 -10.03331 18.33976
  lpopul | -.0878245 .768478 -0.11 0.909 -1.633803 1.458154
  _cons | 33.85875 22.82631 1.48 0.145 -12.06186 79.77937

[Nick Cox]

Duplicate thread.

Guest: Please don't do this kind of repeat posting. It wastes time and effort, yours too.

Others: Please follow https://www.statalist.org/forums/for...484747-outlier if interested.