I have around 40 variables in my dataset but I actually only use around 8 of them. I assume that keeping 8 variables is better than keeping all these variables in my dataset, which may cost Stata more time to deal with the data. I am thinking of a good way to deal with that. Can I ask what you should do in this case? Do you create a new panel dataset and run the regression from that or else?
If we just keep some variables in the dataset, whether we can follow this post or is there any simpler way to do so?
Many thanks and warmest regards.
Stata 17, Windows 10.
Related Posts with What is the ideal way to keep only needed variables in panal dataset?
Codes for cross sectional dependence tests (i.e. Baltagi (2012); Biased-adj LM (Pesaran et al., 2006) Pesaran CDLM- Conflicting results of cross sectional dependence testing in panel data (PesaranCD, Frees, Friedman tests)
- Establishing parallel trends in a probit differences-in-differences model
- Summarizing essential information by some conditions
- Interpreting Logit transformation of dependent variable
Subscribe to:
Post Comments (Atom)
0 Response to What is the ideal way to keep only needed variables in panal dataset?
Post a Comment