Hello all,
I am estimating a first differences model of the following form ΔYit = ß0 + ß1ΔXit + ɛit.
In one of the regressions estimated, the dependent variable is wages. As I am more interested in the percentage change than the level change, I want to use the logarithm for the dependent variable.
Do I have to use log(wageit+1 - wageit) or log(wageit+1) - log(wageit) as my dependent variable?
Thank you!
Related Posts with Log transformation of the dependent variable in a first-differences model
Numbers exported to Excel with more decimalsHello everyone: Iam exporting a dta. from Stata to Excel, I have a variable like this gen total_mea…
Predicted probability and classification statistics for xlogitDear Statalist users, I have two question regarding the fixed effect logit in panel settings. 1) I…
Test of overidentification after xtdpdsys, vce(robust)How can I test overidentification after xtdpdsys, vce(robust)? Sargan test doesn't work. …
How to test heteroskedasticity and autocorrelation in SYS-GMM?How can I test heteroskedasticity and autocorrelation in SYS-GMM (xtfdpdsys) ? …
Problem with local macro in a graph titleI am trying to produce graphs with different titles by using local macros to store the desired title…
Subscribe to:
Post Comments (Atom)
0 Response to Log transformation of the dependent variable in a first-differences model
Post a Comment