3.4 Conclusions 
Fermi-Dirac distribution is a very robust distribution. It has the capacity to describe the distribution several macroeconomic variables, calculated using different methodologies, and can describe the evolution of all incomes, including the for upper income segment of population which is traditionally described by Pareto distribution. The data can be fitted very well using this distribution, given the values for coefficient of determination (higher than 98 %  when applied to cumulative income/probabilities and 95% when applied as a probability density function). 
The parameters obtained from fitting the data show a high correlation between exports and chemical potential and a significant relation for the correlation between degeneracy and Gini index.  Temperature can be also correlated (negatively) with income when Fermi-Dirac probability density function fits non-cumulative data.


3.4 Conclusions 
Fermi-Dirac distribution is a very robust distribution. It has the capacity to describe the distribution several macroeconomic variables, calculated using different methodologies, and can describe the evolution of all incomes, including the for upper income segment of population which is traditionally described by Pareto distribution. The data can be fitted very well using this distribution, given the values for coefficient of determination (higher than 98 %  when applied to cumulative income/probabilities and 95% when applied as a probability density function). 
The parameters obtained from fitting the data show a high correlation between exports and chemical potential and a significant relation for the correlation between degeneracy and Gini index.  Temperature can be also correlated (negatively) with income when Fermi-Dirac probability density function fits non-cumulative data.


3.4 Conclusions 
Fermi-Dirac distribution is a very robust distribution. It has the capacity to describe the distribution several macroeconomic variables, calculated using different methodologies, and can describe the evolution of all incomes, including the for upper income segment of population which is traditionally described by Pareto distribution. The data can be fitted very well using this distribution, given the values for coefficient of determination (higher than 98 %  when applied to cumulative income/probabilities and 95% when applied as a probability density function). 
The parameters obtained from fitting the data show a high correlation between exports and chemical potential and a significant relation for the correlation between degeneracy and Gini index.  Temperature can be also correlated (negatively) with income when Fermi-Dirac probability density function fits non-cumulative data.


3.4 Conclusions 
Fermi-Dirac distribution is a very robust distribution. It has the capacity to describe the distribution several macroeconomic variables, calculated using different methodologies, and can describe the evolution of all incomes, including the for upper income segment of population which is traditionally described by Pareto distribution. The data can be fitted very well using this distribution, given the values for coefficient of determination (higher than 98 %  when applied to cumulative income/probabilities and 95% when applied as a probability density function). 
The parameters obtained from fitting the data show a high correlation between exports and chemical potential and a significant relation for the correlation between degeneracy and Gini index.  Temperature can be also correlated (negatively) with income when Fermi-Dirac probability density function fits non-cumulative data.