MP

GDP and Comparing Nations

Comparing Nations

  • When comparing nations using GDP, two primary factors must be considered:
    • Currency and Purchasing Power Parity (PPP)
    • Population

Currency and Purchasing Power Parity (PPP)

  • Nominal GDP figures are often converted to a common currency (e.g., U.S. dollars) for comparison.
  • However, exchange rates don't always reflect the actual purchasing power of a currency within its own country.
  • PPP attempts to correct this by comparing the cost of a basket of goods in different countries.

Top Ten Countries by Nominal GDP at Current U.S. Dollar Exchange Rates

CountryAnnual Growth (%)Nominal GDP (in trillions)PPP Adjusted GDP (in trillions)GDP Per Capita (in thousands)
United States2.2%21.4321.4365,298
China6.1%14.3423.5210,262
Japan0.7%5.085.4640,247
Germany0.6%3.864.6846,445
India4.2%2.879.562,100
United Kingdom1.5%2.833.2542,330
France1.5%2.723.3240,493.9
Italy0.3%2.002.6733,228.2
Brazil1.1%1.843.238,717
Canada1.7%1.741.9346,195

Population

  • A country's total GDP doesn't tell the whole story; we need to consider GDP per capita (GDP divided by population).
  • GDP per capita provides a better measure of the average living standard in a country.

Other Issues with GDP

  • Besides the challenges in comparing nations, there are other inherent issues with GDP as a measure of economic well-being:
    1. Excluded Production
    2. Income Distribution

Excluded Production

  • GDP does not include non-market activities such as:
    • Household work (e.g., cleaning, cooking, childcare)
    • Volunteer work
    • The underground economy (illegal activities, unreported cash transactions)

Income Distribution

  • GDP is an aggregate measure and doesn't reflect how income is distributed within a country.
  • Two countries can have similar GDPs, but vastly different income inequality.
  • The top 10% income share is one metric used to assess income distribution.

Top 10% Income Share (1917-2012)

  • Figure 1 illustrates the top decile income share in the United States from 1917 to 2012.
  • It shows the percentage of total income earned by the richest 10% of the population.
  • The graph includes data both including and excluding capital gains. Capital gains representing profits from the sale of assets, can significantly skew income distribution figures.
  • The data shows that income inequality has fluctuated significantly over time.