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Globalization, Inequality and the Rich Countries of the G-20: Evidence from the Luxembourg Income Study

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  • Timothy Smeeding

Abstract

The purpose of this study is to summarize and comment upon what we know about the determinants of both the level and trend in economic inequality over the past two decades, and to relate these findings to the progress of globalization in these nations. While the fruits of economic progress in rich nations have not been equally spread, we argue that most citizens in rich Organization for Economic Cooperation and Development (OECD) nations have benefited from the trend toward global economic progress. We begin with a summary of the differences in overall economic inequality within the G-20 nations based on LIS (Luxembourg Income Study) data and recent work by others. Here we find that social policies, wage distributions, time worked, social and labor market institutions and demographic differences all have some influence on why there are large differences in inequality among rich nations at any point in time. In contrast, trade policy has not been shown to have any major impact on economic inequality. Next, we turn to trends in inequality. We find modest and sometimes dissimilar changes in the distribution of income have taken place within most advanced nations, with most finding a higher level of inequality in the mid-to-late 1990s than in the 1980s. Inequality, however, has not risen markedly in some nations (e.g., Denmark, Germany, France, and Canada) over this period, while its rise has slowed in several other nations during the late 1990s. The explanations for rising inequality in rich countries are many, and no one single set of explanations is ultimately convincing. In particular, there is no evidence that we know of that trade and globalization is bad for rich countries. This suggests that rising economic inequality is not inevitable, or that it necessarily hurts low skill-low income families. Rather it suggests that globalization does not force any single outcome on any country. Domestic policies and institutions still have large effects on the level and trend of inequality within rich and middle-income nations, even in a globalizing world economy.

Suggested Citation

  • Timothy Smeeding, 2002. "Globalization, Inequality and the Rich Countries of the G-20: Evidence from the Luxembourg Income Study," LIS Working papers 320, LIS Cross-National Data Center in Luxembourg.
  • Handle: RePEc:lis:liswps:320
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    1. Timothy Smeeding & Gunther Schmaus & Brigitte Buhmann & Lee Rainwater, 1988. "Equivalence Scales, Well-Being, Inequality and Poverty: Sensitivity Estimates Across Ten Countries Using the LIS Database," LIS Working papers 17, LIS Cross-National Data Center in Luxembourg.
    2. Smeeding, Timothy M, et al, 1993. "Poverty, Inequality, and Family Living Standards Impacts across Seven Nations: The Effect of Noncash Subsidies for Health, Education and Housing," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 39(3), pages 229-256, September.
    3. Dan Devroye & Richard B. Freeman, 2001. "Does Inequality in Skills Explain Inequality in Earnings Across Advanced Countries?," NBER Working Papers 8140, National Bureau of Economic Research, Inc.
    4. Andrzej Grodner & Timothy Smeeding, 2000. "Changing Income Inequality in OECD Countries: Updated Results from the Luxembourg Income Study (LIS)," LIS Working papers 252, LIS Cross-National Data Center in Luxembourg.
    5. Francine D. Blau & Lawrence M. Kahn, 2005. "Do Cognitive Test Scores Explain Higher U.S. Wage Inequality?," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 184-193, February.
    6. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    7. Janet Gornick & Jerry Jacobs, 2001. "Hours of Paid Work in Duel Earner Couples: The U.S. in Cross-National Perspective," LIS Working papers 253, LIS Cross-National Data Center in Luxembourg.
    8. Peter Gottschalk & Mary Joyce, 1998. "Cross-National Differences In The Rise In Earnings Inequality: Market And Institutional Factors," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 489-502, November.
    9. Smeeding, Timothy M & Sullivan, Dennis H, 1998. "Generations and the Distribution of Economic Well-Being: A Cross-National View," American Economic Review, American Economic Association, vol. 88(2), pages 254-258, May.
    10. Mats Johansson & Bjorn Gustafsson, 1997. "In Search for a Smoking Gun: What Makes Income Inequality Vary Over Time in Different Countries?," LIS Working papers 172, LIS Cross-National Data Center in Luxembourg.
    11. Jenkins,Stephen P. & Kapteyn,Arie & Praag,Bernard M. S. van (ed.), 1998. "The Distribution of Welfare and Household Production," Cambridge Books, Cambridge University Press, number 9780521623025.
    12. Brigitte Buhmann & Lee Rainwater & Guenther Schmaus & Timothy M. Smeeding, 1988. "Equivalence Scales, Well‐Being, Inequality, And Poverty: Sensitivity Estimates Across Ten Countries Using The Luxembourg Income Study (Lis) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    13. Lars Osberg, 2002. "Time, Money and Inequality in International Perspective," LIS Working papers 334, LIS Cross-National Data Center in Luxembourg.
    14. Buhmann, Brigitte, et al, 1988. "Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates across Ten Countries Using the Luxembourg Income Study (LIS) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
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