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14<br />

Citi GPS: Global Perspectives & Solutions February 2015<br />

But, as digital technology increasingly takes<br />

the form of capital that substitute for labour,<br />

inequality is likely to continue to surge<br />

Nevertheless, the digital age has also left many people behind. Income inequality is<br />

soaring, as evidenced by rising Gini coefficients in advanced economies (Figure<br />

6), 22 especially at the top of the income distribution, most prominently in the US and<br />

the UK (Figure 7). As technology increasingly takes the form of capital that<br />

substitute for labour, inequality is likely to continue to surge. Breaking this trend will<br />

require a shift in mindsets, policies and investments. This report will seek to<br />

understand where technological change is leading us and the challenges that lie<br />

ahead.<br />

Figure 6. Average advanced economy Gini coefficient<br />

Figure 7. Top 0.1% income shares, excluding capital gains<br />

34<br />

33<br />

32<br />

Avg Gini Coefficient<br />

10<br />

9<br />

8<br />

7<br />

Income Share of Top 0.1%<br />

France Japan<br />

UK US<br />

31<br />

6<br />

30<br />

5<br />

29<br />

28<br />

4<br />

3<br />

2<br />

27<br />

1973 1978 1983 1988 1993 1998 2003 2008 2013<br />

Source: Solt (2014), Citi Research<br />

1<br />

1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010<br />

Source: World of Top Incomes Database, Citi Research<br />

22 The Gini coefficient shown in Figure 6 is net of redistribution. That is, it is a measure of<br />

how unequal the distribution of earnings is after taxes and transfer payments by the<br />

government have been accounted for. Market measures of the Gini coefficient — i.e.<br />

before redistribution — generally show higher levels of inequality, as most advanced<br />

economies have progressive social welfare systems. The data show a GDP-weighted<br />

average of Gini coefficients considering 19 economies (the same as those included in<br />

Figure 2 and some from Frederick Solt’s inequality database, which aggregates data<br />

from various sources including the Luxembourg Income Study, See Solt (2014).<br />

© 2015 Citigroup

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