Robust standard errors are valid only asymptotically. Since you appear to be doing cross-country analyses (with usually very few observations), you should use it only if you have heteroscedasticity in your data. Stata has a test for heteroscedasticity; the old command was
hettest - run it right after your regression. If it comes back significant, then there is heteroscedasticity and your normal standard errors are biased. This is when you would usually start to use robust standard errors, but again, you should have a sufficient amount of observations to do this.
What can you do if you have heteroscedasticity but very few observations? Well, either get more observations, or use additional controls which might take care of the heteroscedasticity. If neither is feasible, maybe there are small sample corrections around.