Dear Stata User,
I am conducting a research which I try to explain the relationship between trade openness and social protection expenditure. Trade variable is a sum of import and export as a share of GDP. Social protection expenditure is a share of GDP as well. I run my fixed model as level-level form.
However I confused a little interpreting of coefficents.
After run xtreg social protection trade x2 x3 x4, fe
I get the following estimated coefficent for trade: -0.02243 with 0.015 p value.
I know that for level- level model we can interpret coefficient like this: “If you change x by one, we’d expect y to change by β1".
However, what "one" term refer to in my study? Does one unit change means one percentage point change in my study since my data is a share of GDP? But I do not run model log-log, that why I can not be sure about it!
How can I adapt this (“If you change x by one, we’d expect y to change by β1" ) logic to my research.
Thank you in advance any help.
Related Posts with Coefficient Interpretation- Fixed Panel Model
localHello, I would like to declare local values to run a macro, but I think I have a problem with values…
Bootstrapped Maximum likelihood estimationDear Statalist users, I am trying to write a code in order to estimate a linear regression with boo…
Interpretation of Random effect in multi level negative binomial model.Dear Listers, I would like to know how to interpret the random effect of multi-level negative binom…
What is wrong with my bootstrap program, and why does it give the same estimates in every bootstrap sample?Lets say that I am trying to compare -reg3- estimates over two different subsamples, using bootstrap…
xtlogit vce(cluster cvar) returning no standard errorsHello everyone, I have a panel dataset. The dependent variable is information on whether an investm…
Subscribe to:
Post Comments (Atom)
0 Response to Coefficient Interpretation- Fixed Panel Model
Post a Comment