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"Top Incomes in the Long Run of History" with Tony Atkinson and

"Top Incomes in the Long Run of History" with Tony Atkinson and

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Atk<strong>in</strong>son, Piketty, <strong>and</strong> Saez: <strong>Top</strong> <strong>Incomes</strong> <strong>in</strong> <strong>the</strong> <strong>Long</strong> <strong>Run</strong> <strong>of</strong> History413025United StatesCanadaIrel<strong>and</strong>United K<strong>in</strong>gdomAustraliaNew Zeal<strong>and</strong>2015105019101915192019251930193519401945195019551960196519701975198019851990199520002005<strong>Top</strong> percentile share (<strong>in</strong> percent)Figure 8. <strong>Top</strong> 1 Percent Share: English Speak<strong>in</strong>g Countries (U-shaped), 1910–2005Source: Atk<strong>in</strong>son <strong>and</strong> Piketty (2007, 2010).Moreover, it was before <strong>the</strong> 1950–51 commodityprice boom that affected top shares<strong>in</strong> Australia, New Zeal<strong>and</strong>, <strong>and</strong> S<strong>in</strong>gapore.If we start <strong>with</strong> <strong>the</strong> top 1 percent—<strong>the</strong>group on which attention is commonlyfocused <strong>and</strong> which is depicted on figures8–11—<strong>the</strong>n we can see from table 6 that <strong>the</strong>shares <strong>of</strong> total gross <strong>in</strong>come are strik<strong>in</strong>glysimilar when we take account <strong>of</strong> <strong>the</strong> possiblemarg<strong>in</strong>s <strong>of</strong> error. There are eighteen countriesfor which we have estimates. If we take10 percent as <strong>the</strong> central value (<strong>the</strong> medianis <strong>in</strong> fact around 10.8), <strong>the</strong>n twelve <strong>of</strong> <strong>the</strong>eighteen lie <strong>with</strong><strong>in</strong> <strong>the</strong> range 8 to 12 percent(i.e., <strong>with</strong> an error marg<strong>in</strong> <strong>of</strong> ± 20 percent).In countries as diverse as India, Norway,France, New Zeal<strong>and</strong>, <strong>and</strong> <strong>the</strong> United States,<strong>the</strong> top 1 percent had on average betweeneight to twelve times average <strong>in</strong>come. Threecountries were only just below 8 percent:Japan, F<strong>in</strong>l<strong>and</strong>, <strong>and</strong> Sweden. The countriesabove <strong>the</strong> range were Irel<strong>and</strong>, Argent<strong>in</strong>a,<strong>and</strong> (colonial) Indonesia. The top 1 percentis <strong>of</strong> course just one po<strong>in</strong>t on <strong>the</strong> distribution.If we look at <strong>the</strong> top 0.1 percent, shown<strong>in</strong> table 6 for eighteen countries (Portugalreplac<strong>in</strong>g F<strong>in</strong>l<strong>and</strong>), <strong>the</strong>n we f<strong>in</strong>d that aga<strong>in</strong>twelve lie <strong>with</strong><strong>in</strong> a (± 20 percent) rangearound 3.25 percent from 2.6 to 3.9 percent.Leav<strong>in</strong>g out <strong>the</strong> three outliers at each end,<strong>the</strong> top 0.1 percent had between twenty-six<strong>and</strong> thirty-n<strong>in</strong>e times <strong>the</strong> average <strong>in</strong>come.We also report <strong>in</strong> table 6 <strong>the</strong> <strong>in</strong>versePareto–Lorenz coefficients β associated to<strong>the</strong> upper tail <strong>of</strong> <strong>the</strong> observed distribution<strong>in</strong> <strong>the</strong> various countries <strong>in</strong> 1949 <strong>and</strong> 2005.

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