- 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
Related Posts with Outliers, didn't solve
Do I need to cluster the standard errors?Dear all, I have a panel data set of a study where 69 individuals were observed over 8 points in tim…
Row total conditional on age restrictionDear Statalist members B8_01 stands for the age of the youngest child, B8_02 stands for his/her old…
Generate a variableHello, I use Stata for the empirical part of my bachelor thesis and have not used Stata before so I…
Binary DV with reghdfe with too many negative predictionsHi Everyone, I want to run a probability model by using high-dimensional fixed effects to understan…
Combined plots with no marginHi, I would like to combine 3 plots with no margin (or as little as possible) and 1 unique legend t…
Subscribe to:
Post Comments (Atom)
0 Response to Outliers, didn't solve
Post a Comment