Expert reviewed • 22 November 2024 • 7 minute read
The distribution of income and wealth is a critical issue in economics, as it reflects how evenly or unevenly resources are shared among a population. Understanding and measuring these distributions are essential for policymakers to address inequality and promote economic justice. There are two primary methods for measuring the distribution of income and wealth: the Lorenz Curve and the Gini Coefficient.
The Lorenz Curve is a graphical representation of income or wealth distribution across a population. It plots the cumulative percentage of total income or wealth against the cumulative percentage of households, starting with the poorest. More about the Lorenz curve's shape and how you can integrate it into your economic essays can be found in our Lorenz curve graphing module.
In a perfectly equal distribution, the Lorenz Curve would be a 45-degree line from the origin to the top right corner, known as the line of equality. The more the Lorenz Curve bows away from this line, the greater the level of inequality.
Consider a hypothetical economy where the poorest 20% of households earn 5% of the total income, the next 20% earn 10%, and so on. The Lorenz Curve for this distribution would bow significantly away from the line of equality, indicating high inequality.
The advantages of using the Lorenz curve as a measure of the distribution of income and wealth are:
The limitations of using the Lorenz curve as a measure of the distribution of income and wealth are:
The Gini Coefficient is a numerical measure of income or wealth inequality based on the Lorenz Curve. It ranges from 0 to 1, where:
The formula for calculating the Gini Coefficient, using the Lorenz curve, is as follows:
Where,
(see Lorenz curve below)
The advantages of using the Gini Coefficient as a measure of the distribution of income and wealth are:
The limitations of using the Gini Coefficient as a measure of the distribution of income and wealth are: