Hi,
I am looking at data for returns of companies after their initial public offering. The return-data is skewed to the right and my White's test for heteroskedasticity suggests that it is highly heteroskedastic and skewed (See picture below).
I have tried using robust standard errors in my regression (regress x y, robust) which alters my results. However, I do not know what the robust standard errors take into account.
Do you know if they account for the skewness of the distribution? If no, is there any way to take this into account when making statistical inference?
I hope you can help!
Best,
Rolf
. Array
Related Posts with Robust standard errors - OLS - Right-skewed distribution
Add shade in the graphDear all, I want to add shade in my graph when the variable corr_x is negative. Code: * Example ge…
Add shade in the graphDear all, I want to add shade in my graph when the variable corr_x is negative. Code: * Example ge…
How do we test the hypothesis of coefficient stability across sub-groupHello everyone, I would like to know if there is a coefficient stability test between two models, o…
Merging 4 variables into 1 on Stata?Hi there, I tried to use dataex but the following error emerged: "data width (406 chars) exceeds ma…
Fixing Scientific Notation in String VariableHi I have a dataset containing many observations. All variables are string variables (Type: str40 …
Subscribe to:
Post Comments (Atom)
0 Response to Robust standard errors - OLS - Right-skewed distribution
Post a Comment