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Perfect equality = O < G < 1 = Perfect inequality 4% 20% A B G = A/(A+B)

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Presentation on theme: "Perfect equality = O < G < 1 = Perfect inequality 4% 20% A B G = A/(A+B)"— Presentation transcript:

1 Perfect equality = O < G < 1 = Perfect inequality 4% 20% A B G = A/(A+B)

2 World Development Report 2006: Equity and Development

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4 Gini coefficients in the world

5 World Development Report 2006: Equity and Development

6 Wage ratios Wage 20% W 80 W 20 W 80 W 20 W R =

7 Acemoglu, Daron “Technical Change, Inequality, and the Labor Market” Journal of Economic Literature, March 2002 Wages rising at upper tail, falling at lower tail

8 Acemoglu, Daron “Technical Change, Inequality, and the Labor Market” Journal of Economic Literature, March 2002 Residual inequality: wage differences holding constant education, experience W = βX + e; X = vector of measured skills; e = residual

9 Wage dispersion: ratio of the 90th percentile to the 10th percentile wage 1980- 1984 1995 - 1999 Δ 1999- 1980 Australia2.882.940.06 Finland2.492.36-0.13 France3.183.07-0.11 Germany2.882.87-0.01 Japan3.082.99-0.09 Netherlands2.472.850.38 New Zealand2.893.280.39 Sweden2.012.230.22 UK3.093.450.36 USA3.914.590.68 Source: OECD Employment Outlook, 2004

10 Stylized facts regarding earnings inequality 1) Inequality has been increasing steadily in the U.S. since the 1980s for both men and women 2)Inequality has been rising in other industrialized economies 3) Until 1980, inequality had been rising across countries 4) Conclusions are not sensitive to measure of inequality used

11 Rising inequality not due to gender discrimination Source: Bureau of Labor Statistics

12 Rising inequality not due to race discrimination Source: Bureau of Labor Statistics

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14 Stylized facts regarding earnings inequality 5) Women are gaining relative to men 6) Minorities gained relative to whites before the 1980s, but relative earnings for minorities stabilized thereafter 7) Wage inequality between women increased, as did wage inequality between men 8) Residual inequality began to increase for both men and women in the 1970s

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17 Acemoglu, Daron “Technical Change, Inequality, and the Labor Market” Journal of Economic Literature, March 2002

18 Stylized facts regarding earnings inequality 9) There have been coincident increases in returns to schooling over that period 10) There have been rising returns to experience over that time frame 11) Young college graduates have gained the most, especially in the 1990s 12) Rising returns to college even as relative supply has increased tremendously

19 Econ 1 Test Has to be a demand side reason for Rising relative employment Rising relative wages Cause must be common across industrialized economies

20 Acemoglu, Daron “Technical Change, Inequality, and the Labor Market” Journal of Economic Literature, March 2002

21 Demand for Price of Physical Capital Numbers of Workers Human Capital per Worker Physical Capital -0.451.07-0.11 Numbers of Workers 0.66-1.440.15 Human Capital per Worker -0.150.35-0.13 Red: Complements; Blue: Substitutes Note: Based on share-weighted elasticities of substitution reported in Table 6 of Huang. Hallam, Orazem and Paterno, "Empirical Tests of Efficiency Wage Models."Economica 65 (February 1998):125-143. Estimated own and cross price elasticities between capital, labor and human capital per worker

22 Acemoglu, Daron “Technical Change, Inequality, and the Labor Market” Journal of Economic Literature, March 2002 ln(W R )= β 0 + β 1 * N R + β 2* r + e W R = relative college to high school wage N R = relative weeks worked of college educated to high school educated r = relative price of equipment capital

23 Stop here

24 Other issues Economic policy to limit inequality and labor market performance Tax and Transfer policies and inequality Inequality within occupations

25 Tradeoff between rising inequality and employment stability

26 Weinberg, Daniel. Alternative Measures of Income Poverty and. the Anti-poverty Effects of Taxes and Transfers www.welfareacademy.org/pubs/poverty/Weinberg_Alt_Measures.pdf www.welfareacademy.org/pubs/poverty/Weinberg_Alt_Measures.pdf

27 http://www.census.gov/hhes/www/poverty/effect2004/effectofgovtandt2004.pdf

28 Buckley, John. “Rankings of Full-Time Occupations, by Earnings, 2000.” Monthly Labor Review 125 (March 2002): 46-57.

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30 CPS: Current Population Survey MINT: Social Security Administration data B. Bosworth, G. Burtless and C. Sahn “The Trend in Lifetime Earnings Inequality and Its Impact on the Distribution of Retirement Income” August 2001

31 Restricted to Full-time workers All workers CPS: Current Population Survey MINT: Social Security Administration data B. Bosworth, G. Burtless and C. Sahn “The Trend in Lifetime Earnings Inequality and Its Impact on the Distribution of Retirement Income” August 2001

32 Economic Freedom Index High Medium Low

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34 Returns to Education and Experience among Full-Time, Year- Round Workers, Selected Ages, 1975–2003 (in 2003 dollars)


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