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How can robots affect wage inequality?

Author

Listed:
  • Lankisch, Clemens
  • Prettner, Klaus
  • Prskawetz, Alexia
Abstract
We explain the simultaneous presence of i) increasing per capita output, ii) declining real wages of low-skilled workers, and iii) a rising wage premium of higher education within a model of economic growth in the age of automation. The theoretical implications are consistent with the data for the United States since the 1970s. Thus, automation contributes towards our understanding of the driving forces of rising inequality. The immediate policy conclusion is that investments in higher education can help to soften the negative effects of automation.

Suggested Citation

  • Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
  • Handle: RePEc:eee:ecmode:v:81:y:2019:i:c:p:161-169
    DOI: 10.1016/j.econmod.2018.12.015
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    References listed on IDEAS

    as
    1. David H. Autor & David Dorn & Gordon H. Hanson, 2016. "The China Shock: Learning from Labor-Market Adjustment to Large Changes in Trade," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 205-240, October.
    2. Sushanta K. Mallick & Shirley J. Ho, 2008. "On Network Competition And The Solow Paradox: Evidence From Us Banks," Manchester School, University of Manchester, vol. 76(s1), pages 37-57, September.
    3. Daron Acemoglu & David Autor, 2012. "What Does Human Capital Do? A Review of Goldin and Katz's The Race between Education and Technology," Journal of Economic Literature, American Economic Association, vol. 50(2), pages 426-463, June.
    4. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    5. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    6. Thomas Piketty & Emmanuel Saez & Stefanie Stantcheva, 2014. "Optimal Taxation of Top Labor Incomes: A Tale of Three Elasticities," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 230-271, February.
    7. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    8. Südekum, Jens & Dauth, Wolfgang & Findeisen, Sebastian & Woessner, Nicole, 2017. "German Robots – The Impact of Industrial Robots on Workers," CEPR Discussion Papers 12306, C.E.P.R. Discussion Papers.
    9. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    10. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    11. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    12. Grossmann, Volker & Steger, Thomas & Trimborn, Timo, 2013. "Dynamically optimal R&D subsidization," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 516-534.
    13. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    14. Jung, Sungmoon & Lee, Jeong-Dong & Hwang, Won-Sik & Yeo, Yeongjun, 2017. "Growth versus equity: A CGE analysis for effects of factor-biased technical progress on economic growth and employment," Economic Modelling, Elsevier, vol. 60(C), pages 424-438.
    15. Abeliansky, Ana L. & Martínez-Zarzoso, Imnaculada & Prettner, Klaus, 2015. "The impact of 3D printing on trade and FDI," University of Göttingen Working Papers in Economics 262, University of Goettingen, Department of Economics.
    16. Sushanta K. MALLICK & Ricardo M. SOUSA, 2017. "The skill premium effect of technological change: New evidence from United States manufacturing," International Labour Review, International Labour Organization, vol. 156(1), pages 113-131, March.
    17. David Cass, 1965. "Optimum Growth in an Aggregative Model of Capital Accumulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 32(3), pages 233-240.
    18. Prettner, Klaus, 2019. "A Note On The Implications Of Automation For Economic Growth And The Labor Share," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1294-1301, April.
    19. Prettner, Klaus & Strulik, Holger, 2017. "The lost race against the machine: Automation, education and inequality in an R&D-based growth model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 08-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    20. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    21. Gasteiger, Emanuel & Prettner, Klaus, 2017. "A note on automation, stagnation, and the implications of a robot tax," Discussion Papers 2017/17, Free University Berlin, School of Business & Economics.
    22. World Bank, 2016. "World Development Indicators 2016," World Bank Publications - Books, The World Bank Group, number 23969.
    23. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    24. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    25. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    26. Yeongjun Yeo & Sungmoon Jung & Kiyoon Shin & Jeong-Dong Lee, 2017. "Growth versus equity: A CGE analysis for macroeconomic policy mix for the sustainable economic growth," EcoMod2017 10412, EcoMod.
    27. repec:hal:pseose:halshs-00944873 is not listed on IDEAS
    28. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    29. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    30. Jeffrey D. Sachs & Laurence J. Kotlikoff, 2012. "Smart Machines and Long-Term Misery," NBER Working Papers 18629, National Bureau of Economic Research, Inc.
    31. De Santis, Roberto A., 2002. "Wage inequality between and within groups: trade-induced or skill-bias technical change? Alternative age models for the UK," Economic Modelling, Elsevier, vol. 19(5), pages 725-746, November.
    32. Prettner, Klaus & Strulik, Holger, 2018. "Trade and productivity: The family connection redux," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 276-291.
    33. Sochirca, Elena & Afonso, Óscar & Gil, Pedro Mazeda, 2013. "Technological-knowledge bias and the industrial structure under costly investment and complementarities," Economic Modelling, Elsevier, vol. 32(C), pages 440-451.
    34. Daron Acemoglu & Pascual Restrepo, 2016. "The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment," NBER Working Papers 22252, National Bureau of Economic Research, Inc.
    35. Jeffrey D. Sachs & Seth G. Benzell & Guillermo LaGarda, 2015. "Robots: Curse or Blessing? A Basic Framework," NBER Working Papers 21091, National Bureau of Economic Research, Inc.
    36. Dauth, Wolfgang & Findeisen, Sebastian & Südekum, Jens & Wößner, Nicole, 2017. "German robots - the impact of industrial robots on workers," IAB-Discussion Paper 201730, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    37. Ilayda Nemlioglu & Sushanta K. Mallick, 2017. "Do Managerial Practices Matter in Innovation and Firm Performance Relations? New Evidence from the UK," European Financial Management, European Financial Management Association, vol. 23(5), pages 1016-1061, October.
    38. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    39. Neves, Pedro Cunha & Afonso, Óscar & Sequeira, Tiago Neves, 2018. "Population growth and the wage skill premium," Economic Modelling, Elsevier, vol. 68(C), pages 435-449.
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    More about this item

    Keywords

    Automation; Declining real wages of low-skilled workers; Income inequality; Long-run economic growth; Skill premium;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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