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Taking the Sector Seriously: Data, Developments, and Drivers of Intrasectoral Earnings Inequality

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  • Stefan Thewissen

    (University of Oxford)

  • Olaf Vliet

    (Leiden University)

  • Chen Wang

    (Shanghai University of Finance and Economics)

Abstract

The widespread increase in earnings inequality within postindustrial countries has received a lot of attention in both the public debate and the academic literature. Remarkably, the developments in earnings inequality have mainly been studied at the country level, whereas there is substantial variation across sectors within countries. This study explores the developments and the drivers of earnings inequality at the sectoral level. From an empirical perspective, this study aims to contribute to the inequality literature by analyzing measures of sectoral earnings inequality. The study relies on newly assembled data based on Luxembourg Income Study micro data for eleven sectors across eight countries over the past few decades. As a theoretical contribution, the study examines the three key explanations for increasing earnings inequality that have been debated and analysed by economists, sociologists and political scientists—namely, globalisation, technological change and waning labour union power—but this time with sectoral earnings inequality data. Interestingly, the results provide only limited support for the argument that international trade leads to higher levels of earnings inequality. When we focus the analysis on trade with less developed countries we find a positive association between trade and earnings inequality. With regard to technological change, our findings provide mixed evidence for the hypothesis that skill-biased technological change increases earnings inequality. Our results bring back the waning country-wide labour union power as an important driver of earnings inequality. This corresponds with the fact that our sectoral data reveal a more general trend towards rising inequality across sectors over time.

Suggested Citation

  • Stefan Thewissen & Olaf Vliet & Chen Wang, 2018. "Taking the Sector Seriously: Data, Developments, and Drivers of Intrasectoral Earnings Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 1023-1048, August.
  • Handle: RePEc:spr:soinre:v:138:y:2018:i:3:d:10.1007_s11205-017-1677-2
    DOI: 10.1007/s11205-017-1677-2
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    References listed on IDEAS

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    1. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    2. Ann Harrison & John McLaren & Margaret McMillan, 2011. "Recent Perspectives on Trade and Inequality," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 261-289, September.
    3. Rueda, David, 2007. "Social Democracy Inside Out: Partisanship and Labor Market Policy in Advanced Industrialized Democracies," OUP Catalogue, Oxford University Press, number 9780199234059.
    4. Thewissen, Stefan & van Vliet, Olaf, 2019. "Competing With the Dragon: Employment Effects of Chinese Trade Competition in 17 Sectors Across 18 OECD Countries," Political Science Research and Methods, Cambridge University Press, vol. 7(2), pages 215-232, April.
    5. Immervoll, Herwig & Richardson, Linda, 2011. "Redistribution Policy and Inequality Reduction in OECD Countries: What Has Changed in Two Decades?," IZA Discussion Papers 6030, Institute of Labor Economics (IZA).
    6. Nathalie Chusseau & Michel Dumont, 2012. "Growing Income Inequalities in Advanced," Working Papers hal-00993359, HAL.
    7. Stefan Thewissen & Chen Wang & Olaf van Vliet, 2013. "Sectoral trends in earnings inequality and employment International trade, skill-biased technological change, or labour market institutions?," LIS Working papers 595, LIS Cross-National Data Center in Luxembourg.
    8. Joël Hellier & Nathalie Chusseau (ed.), 2013. "Growing Income Inequalities," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-28330-6.
    9. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    10. Stefan Thewissen & Olaf van Vliet, 2014. "Competing with the dragon: Employment and wage effects of Chinese trade competition in 17 sectors across 18 OECD countries," LIS Working papers 623, LIS Cross-National Data Center in Luxembourg.
    11. Burgoon, Brian, 2001. "Globalization and Welfare Compensation: Disentangling the Ties that Bind," International Organization, Cambridge University Press, vol. 55(3), pages 509-551, July.
    12. Martin,Cathie Jo & Swank,Duane, 2012. "The Political Construction of Business Interests," Cambridge Books, Cambridge University Press, number 9781107018662.
    13. Lane Kenworthy & Jonas Pontusson, 2005. "Rising Inequality and the Politics of Redistribution in Affluent Countries," LIS Working papers 400, LIS Cross-National Data Center in Luxembourg.
    14. Martin,Cathie Jo & Swank,Duane, 2012. "The Political Construction of Business Interests," Cambridge Books, Cambridge University Press, number 9781107603646.
    15. A. B. Atkinson, 2003. "Income Inequality in OECD Countries: Data and Explanations," CESifo Economic Studies, CESifo, vol. 49(4), pages 479-513.
    16. M. Sirgy & Dong-Jin Lee & Chad Miller & James Littlefield & Eda Atay, 2007. "The Impact of Imports and Exports on a Country’s Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 83(2), pages 245-281, September.
    17. Winfried Koeniger & Marco Leonardi & Luca Nunziata, 2007. "Labor Market Institutions and Wage Inequality," ILR Review, Cornell University, ILR School, vol. 60(3), pages 340-356, April.
    18. Assar Lindbeck & Dennis J. Snower, 2001. "Insiders versus Outsiders," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 165-188, Winter.
    19. Oesch, Daniel, 2013. "Occupational Change in Europe: How Technology and Education Transform the Job Structure," OUP Catalogue, Oxford University Press, number 9780199680962.
    20. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    21. Duane Swank, 2015. "The Political Foundations of Redistribution in Post-industrial Democracies," LIS Working papers 653, LIS Cross-National Data Center in Luxembourg.
    22. World Bank, 2012. "World Development Indicators 2012," World Bank Publications - Books, The World Bank Group, number 6014, December.
    23. Hays, Jude, 2009. "Globalization and the New Politics of Embedded Liberalism," OUP Catalogue, Oxford University Press, number 9780195369328.
    24. Arthur Alderson & Jason Beckfield & Francois Nielsen, 2005. "Exactly How has Income Inequality Changed? Patterns of Distributional Change in Core Societies," LIS Working papers 422, LIS Cross-National Data Center in Luxembourg.
    25. World Bank, 2013. "World Development Indicators 2013," World Bank Publications - Books, The World Bank Group, number 13191, December.
    26. Pontusson, Jonas & Rueda, David & Way, Christopher R., 2002. "Comparative Political Economy of Wage Distribution: The Role of Partisanship and Labour Market Institutions," British Journal of Political Science, Cambridge University Press, vol. 32(2), pages 281-308, April.
    27. Richard B. Freeman, 1991. "How Much Has De-Unionisation Contributed to the Rise in Male Earnings Inequality?," NBER Working Papers 3826, National Bureau of Economic Research, Inc.
    28. George Deltas, 2003. "The Small-Sample Bias of the Gini Coefficient: Results and Implications for Empirical Research," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 226-234, February.
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    Cited by:

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    3. Huang, Kaixing & Yan, Wenshou & Sim, Nicholas & Guo, Yuqing & Xie, Fang, 2022. "Can trade explain the rising trends in income inequality? Insights from 40 years of empirical studies," Economic Modelling, Elsevier, vol. 107(C).

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