Hi all,
I have a question regarding a panel data regression using a Random Effect Model (REM). I am using STATA version 15.1.
After preparing the dataset for panel data regression using **xtset**, I ran the following regression code: **xtreg Y X1 X2 Xn, re**
I am getting significant results to a 95% significance level, which is great.
My question is: Can I interpret these results as a causality or a correlation, now that it is a panel data REM regression?
If it is a correlation, how would I then test for causality, this being a possibility when working with panel data.
I hope someone can help.
All the best,
Amalie
Related Posts with Causality or correlation in panel data regression using random effect model
Estimate 2SLS with multi-level fixed-effects using ivregress vs reghdfe vs ivreghdfeHello Stata experts, at the moment I'm working on a project that requires the use of 2SLS method wi…
Do Not Rank If ConditionHello, In the sample attached I have ranked var: tfr_lr in var: rank_tfr_lr I would like var: tfr_l…
Overflowing legend, uncentered title in Stata graphs on MacHello, I'm trying to plot a histogram on Stata. This is the code I've used and I've used it many ti…
Calculating a score for each firm within the same industryDear All, I hope you are staying well and keeping safe. I am new to variable creating codes and wou…
Marginsplot: Changing markers by categorical value along x-axisI am summarizing percentage estimates across cities graphically, using margins and marginsplot. Howe…
Subscribe to:
Post Comments (Atom)
0 Response to Causality or correlation in panel data regression using random effect model
Post a Comment