The correct answer is Lorenz Curve. Explanation & Key Takeaways: • The Lorenz Curve is a graphical representation that illustrates the distribution of income or wealth among individuals or households in a population. • It is used to measure income inequality, where the degree of deviation from the line of perfect equality (the diagonal line) indicates the level of inequality. • The closer the Lorenz Curve is to the diagonal line, the more equal the income distribution; the farther it is, the greater the inequality. • The curve is often used in conjunction with the Gini Coefficient, which quantifies the level of income inequality as a single numerical value. • Developed by Max Lorenz in 1905, this tool remains a cornerstone in economic studies related to inequality and social welfare. Related Concepts: • Gini Coefficient: • The Gini Coefficient is a numerical measure derived from the Lorenz Curve, ranging from 0 to 1. • A Gini Coefficient of 0 indicates perfect equality, while a value of 1 indicates perfect inequality. • It is widely used by economists and policymakers to compare income inequality across regions or countries. • Dependency Ratio: • This is a demographic metric that indicates the ratio of dependents (young and elderly) to the working-age population. • While important for understanding economic pressures, it does not measure income inequality. • Consumer Price Index (CPI): • CPI measures changes in the price level of a basket of consumer goods and services purchased by households over time. • It is a key indicator of inflation, not income distribution. • Labour Force Participation Rate (LFPR): • LFPR measures the proportion of the working-age population that is either employed or actively seeking employment. • It provides insights into labor market dynamics but does not reflect income inequality. • Historical Context of Income Inequality Studies: • The study of income inequality gained prominence during the 20th century as economists sought to understand its implications on economic growth and social stability. • Tools like the Lorenz Curve and Gini Coefficient remain fundamental to these analyses.