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Topic 2/3
15 Flashcards in this deck.
Income distribution describes how a country's total income is shared among its individuals or households. It provides insights into the economic disparity within a society, highlighting the range between the highest and lowest earners. Income distribution can be measured using various statistical tools, such as the Gini coefficient and the Lorenz curve.
Several economic theories explain the determinants and implications of income distribution:
Understanding income distribution requires quantitative measures to assess the degree of inequality:
Several factors contribute to how income is distributed within an economy:
The distribution of income has profound effects on both the economy and society:
Governments and institutions implement various policies to mitigate income disparities:
Several economic models help analyze income distribution:
Income distribution varies significantly across countries and regions:
Analyzing specific instances can provide deeper insights into income distribution dynamics:
Mathematical models quantify and analyze income distribution:
The Gini coefficient ($G$) is calculated using the Lorenz curve as:
$$ G = \frac{A}{A + B} $$where $A$ is the area between the line of equality and the Lorenz curve, and $B$ is the area under the Lorenz curve.
The Palma ratio ($PR$) is defined as:
$$ PR = \frac{\text{Income share of top 10%}}{\text{Income share of bottom 40%}} $$A higher Palma ratio indicates greater income inequality.
Aspect | Gini Coefficient | Lorenz Curve | Palma Ratio |
---|---|---|---|
Definition | A numerical measure of income inequality ranging from 0 (perfect equality) to 1 (maximum inequality). | A graphical representation showing the cumulative distribution of income against the population. | The ratio of the income share of the top 10% to the bottom 40% of the population. |
Measurement | Calculated using the areas under the Lorenz curve. | Plotted on a graph to visualize income distribution. | Simple ratio calculation based on income shares. |
Advantages | Provides a single summary statistic; widely used for comparisons. | Visually intuitive; shows the entire distribution. | Focuses on the extremes of the income distribution; easy to understand. |
Limitations | Does not capture changes in specific parts of the distribution; sensitive to middle-income changes. | Subjective interpretation; no single numerical value. | Ignores the middle 50% of the population; less comprehensive. |
• **Use Mnemonics for Key Measures:** Remember "Gini Loves Palma" to recall that the Gini coefficient, Lorenz curve, and Palma ratio are essential tools for measuring income distribution.
• **Relate to Current Events:** Connect theoretical concepts to recent news on income inequality to enhance understanding and retention.
• **Practice with Graphs:** Regularly sketch the Lorenz curve and calculate the Gini coefficient to become comfortable with graphical and mathematical aspects.
• The Gini coefficient, a key measure of income inequality, was developed by Italian statistician Corrado Gini in 1912.
• In some Scandinavian countries, progressive taxation and extensive social welfare programs have reduced income inequality to some of the lowest levels globally.
• Despite economic growth, countries like the United States have seen a significant increase in income inequality over the past few decades, highlighting the complex relationship between growth and distribution.
• **Confusing Income Distribution with Income Equality:** Students often mistake these terms. Income distribution refers to how income is spread across a population, while income equality is a state where income is distributed equally.
• **Misinterpreting the Gini Coefficient:** A common error is assuming a lower Gini coefficient always indicates a better economy. It only measures inequality, not the overall wealth or economic prosperity.
• **Overlooking the Role of Government Policies:** Students may neglect how taxation and welfare policies influence income distribution, focusing solely on market-driven factors.