I am studying the relationship between university rankings (dependant variable) and academic freedom (independant variable). During my research, I found out that I get much more consistent results if I use cross sectional databases instead of panel databases.
I want to explain this in my report, but also want to show some proof of this. When using the
command, I get these results :
I want to draw you attention on the part circled in blue. This show a decomposition of the R² in "within" (time series dimension of the data) and "between" (cross-sectional dimension of the data). Showing this in my LaTeX regression table could constitute proof that a big part of the variance of my model is explained by the cross-sectionnal aspect of my data, rather than the time series aspect.
The problem is, I don't know how I could include this in the regression table. I know how to use
and
, but I don't know if there are any options for these commands to include this particular information in the final table. Worst case scenario, I can always add it manually in LaTeX, but if there is another way to do it, I would prefer it.
I want to explain this in my report, but also want to show some proof of this. When using the
Code:
xtreg
I want to draw you attention on the part circled in blue. This show a decomposition of the R² in "within" (time series dimension of the data) and "between" (cross-sectional dimension of the data). Showing this in my LaTeX regression table could constitute proof that a big part of the variance of my model is explained by the cross-sectionnal aspect of my data, rather than the time series aspect.
The problem is, I don't know how I could include this in the regression table. I know how to use
Code:
esttab
Code:
outreg
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