Consider an economy with one lender and five prospective borrowers. Initially, all individuals are able to participate in the credit market, resulting in a Gini coefficient of 0.6. In an alternative scenario where two of the five borrowers are excluded from the market and earn zero income, the Gini coefficient for the economy increases to 0.73. Based on this information, what would be the most likely outcome for the Gini coefficient if only one borrower were excluded from the market, with all others participating as before?

Analyzing the Effect of Credit Exclusion on Inequality

Evaluating Microfinance Policy Impact on Inequality

In a simplified economy consisting of one lender and five potential borrowers, the lender is entitled to a 2/3 share of the total income generated from any successful loans. Consider a scenario where two of the five borrowers are completely excluded from borrowing and thus earn no income. In this situation, the lender's absolute income amount is the same as it would be if all five borrowers were able to secure loans.

Analyzing the Gini Coefficient Change

Interpreting Changes in the Gini Coefficient

In a model with one lender and five potential borrowers, the lender receives a 2/3 share of the income from each loan. When two borrowers are excluded from the credit market and earn zero income, the individual income of each of the three remaining borrowers who do secure a loan is lower than it would have been in the scenario where all five borrowers secured loans.

In an economic model with one lender and five potential borrowers, different market conditions can lead to varying levels of income inequality. Match each of the following scenarios to its most likely corresponding Gini coefficient, where a higher value indicates greater inequality.

In a small economy with one lender and five prospective borrowers, a policy change results in two borrowers being completely excluded from accessing credit, causing them to earn zero income. This change leads to the economy's Gini coefficient rising from 0.60 to 0.73. Which of the following statements best explains the fundamental reason for this increase in measured inequality?

Analyzing Income Distribution Shifts