Basically I need to look at the relationship between inequality and technological change, and am using panel data consisting of a measure of technological change (technology as a % of GDP) and gini index statistics for a sample of countries annually over a 30 year period.

I am only interested in seeing if technological change affects inequality so technology is my only dependent variable. When using xtreg to run a fixed effects regression my Prob>F value is high so is it fair to say that I cant reject the hypothesis that the coefficient is 0 and therefore it is likely that technological change does not affect growth?

Is it ok that I have not included other variables in the regression? I am not really concerned in finding all the factors that influence inequality, only in seeing if technology plays any role. So is my regression ok as it is?

Also, can anyone give me any idea of whether I should be using logged values for my data? I see this done a lot but am unsure when it should be used.

Sorry again for the 'newbie' questions, and thank you for any help!