Gini Coefficient Formula:
The Gini coefficient is a measure of statistical dispersion intended to represent income or wealth distribution of a nation's residents. It ranges from 0 (perfect equality) to 1 (perfect inequality).
The calculator uses the ineq package in R to compute the Gini coefficient:
Where:
Explanation: The Gini coefficient measures the average difference between all pairs of values, normalized by the mean.
Details:
Tips: Enter numeric values separated by commas. The calculator will process them in R using the Gini() function from the ineq package.
Q1: What's the difference between Gini and other inequality measures?
A: Gini is more sensitive to changes in the middle of the distribution compared to measures like the 90/10 ratio.
Q2: What are typical Gini values for countries?
A: Scandinavian countries typically have values around 0.25, while highly unequal societies may exceed 0.5.
Q3: Can Gini be greater than 1?
A: Normally no, but with negative values in the dataset, it's theoretically possible (though economically meaningless).
Q4: What are limitations of the Gini coefficient?
A: It doesn't show where inequality occurs in the distribution and can be sensitive to outliers.
Q5: How is Gini related to the Lorenz curve?
A: Gini is the ratio of the area between the Lorenz curve and the line of equality to the total area under the line of equality.