Hi,
I was wondering if it is possible to test for significant differences in r squared across groups.
That is, I am running the same model seperately for men and women, and find that the explained variance appears to differ substantially (in both cases small, but almost twice as big in women). Is there any formal way to test if the two r squared are significantly different? If such a comparison is even meaningful?
Thank you in advance.
Related Posts with Comparing R2 across groups
value labels after appending datasetsHi all, I have 29 .csv dataset, each dataset is for a year from 1990 to 2018, and I want to append …
Using esttab and estout to Flip Models and Coefficients (tffects nnmatch coefs)Hi Stata ninjas, I am using estout documentation to develop a table that includes the coefficients …
. . …
Testing the null hypothesis that the skewness/kurtosis of 2 times series variable are the sameHi, I would like to test the null hypothesis that the skewness/kurtosis of 2 times series variable …
Independent sample t-testDear researchers, I have unbalanced panel data for a set of firms. In 2002 a new standard has been i…
Subscribe to:
Post Comments (Atom)
0 Response to Comparing R2 across groups
Post a Comment