I have two spatial lag models using the same dependent variable (average income) and different independent variables (1- living environment deprivation; 2- education deprivation) for towns in the UK.
I would like to see which model accounts for greatest variation, hence should I compare r squared or log likelihood and AIC values to determine this?
I have read on forums that the log likelihood can only be compared for models with the same data, so does this mean I cannot compare them if the independent variables are different?
Thank you.