Interpretation Estimates of fixed effects, redundant parameters I am doing multi level analysis with SPSS and have some categorical variables as control variables (country, gender).

As you can see country has a significant effect, but I am not sure how I can report it sufficiently with country 3 being set to zero because it is redundant. 
Basically I want to make a table which includes Estimates, Standard error and significance. Can I somehow put country as one variable?   
 A: Redendant levels are most often called reference levels you can just replace 0's in Estimate column with reference level note or change description of non-refrence levels e.g. [country=1 vs 3] or make another footnote under your table saying "Reference levels: country=3, gender=1".

Basically I want to make a table which includes Estimates, Standard
  error and significance. Can I somehow put country as one variable?

You can get significance of country as one variable. You can't get Estimate and Std. error for it. Why? Just take a look on Estimate's interpretation. 1.07 for country=1 means that in this country OC_A_Total is on average 1.07 units higher than in reference country (country=3), adjusting for age, gender and the rest of your variables, of course. Similarly, you can say, that in country=2 it is 1.005 units higher. These two estimates can not be collapsed into one (at least if you still wish it to have some clear interpretation).
A: If you really want to avoid this warning, which is due to the dummy variable trap, you can try re-running your model without intercept.
