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Technology, Intangible Assets and the Decline of the Labor Share

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  • Mary O'Mahony
  • Michela Vecchi
  • Francesco Venturini

Abstract

We investigate the decline of the labor share in a world characterized by rapid technological changes and increasing heterogeneity of capital assets. Our theoretical model allows for these assets to affect the labor share in different directions depending on the capital-labor substitution/complementary relationship and the workers’ skill level. We test the predictions of our model using a large cross-country, cross-industry data set, considering different forms of tangible and intangible capital inputs. Our results show that, over the 1970-2007 period, the decline of the labor share has been mainly driven by technical change and Information and Communication Technology (ICT) assets, mitigated by increasing investments in R&D based knowledge assets. Extending to other forms of intangible capital from 1995 onwards, we find that intangible investments related to innovation increase the labor share while those related to the organisation of firms contribute to its decline, particularly for the low and intermediate skilled workers. Our results are robust to an array of econometric issues, namely heterogeneity, cross sectional dependence, and endogeneity.

Suggested Citation

  • Mary O'Mahony & Michela Vecchi & Francesco Venturini, 2019. "Technology, Intangible Assets and the Decline of the Labor Share," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-17, Economic Statistics Centre of Excellence (ESCoE).
    • Handle: RePEc:nsr:escoed:escoe-dp-2019-17
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    References listed on IDEAS

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    1. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    2. Ian William Marsh & Ana Rincon-Aznar & Michela Vecchi & Francesco Venturini, 2017. "We see ICT spillovers everywhere but in the econometric evidence: a reassessment," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(6), pages 1067-1088.
    3. Francesco Venturini, 2009. "The long-run impact of ICT," Empirical Economics, Springer, vol. 37(3), pages 497-515, December.
    4. Stephen D. Oliner & Daniel E. Sichel, 2000. "The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 3-22, Fall.
    5. Carol Corrado & Charles Hulten & Daniel Sichel, 2005. "Measuring Capital and Technology: An Expanded Framework," NBER Chapters, in: Measuring Capital in the New Economy, pages 11-46, National Bureau of Economic Research, Inc.
    6. Mary O’Mahony & Michela Vecchi & Francesco Venturini, 2019. "Technology, Market Regulations, and Labor Share Dynamics," ADB Institute Series on Development Economics, in: Gary Fields & Saumik Paul (ed.), Labor Income Share in Asia, chapter 0, pages 81-101, Springer.
    7. Robert Z. Lawrence, 2015. "Recent Declines in Labor's Share in US Income: A Preliminary Neoclassical Account," Working Paper Series WP15-10, Peterson Institute for International Economics.
    8. Alvarez-Cuadrado, Francisco & Long, Ngo Van & Poschke, Markus, 2018. "Capital-labor substitution, structural change and the labor income share," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 206-231.
    9. Thomas Piketty & Gabriel Zucman, 2014. "Capital is Back: Wealth-Income Ratios in Rich Countries 1700–2010," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1255-1310.
    10. Liu, Yue, 2012. "Structural change with dynamics of capital income share," Economics Letters, Elsevier, vol. 116(3), pages 597-600.
    11. Fernando del Río & Francisco‐Xavier Lores, 2019. "The Decline in Capital Efficiency and Labour Share," Economica, London School of Economics and Political Science, vol. 86(344), pages 635-662, October.
    12. Gabriele Ciminelli & Romain Duval & Davide Furceri, 2022. "Employment Protection Deregulation and Labor Shares in Advanced Economies," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1174-1190, November.
    13. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
    14. Gilbert Cette & Jimmy Lopez & Jacques Mairesse, 2017. "Upstream Product Market Regulations, ICT, R&D and Productivity," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 68-89, February.
    15. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    16. 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.
    17. Mathilde Pak & Cyrille Schwellnus, 2019. "Labour share developments over the past two decades: The role of public policies," OECD Economics Department Working Papers 1541, OECD Publishing.
    18. Young, Andrew T. & Tackett, Maria Y., 2018. "Globalization and the decline in labor shares: Exploring the relationship beyond trade and financial flows," European Journal of Political Economy, Elsevier, vol. 52(C), pages 18-35.
    19. Timmer,Marcel P. & Inklaar,Robert & O'Mahony,Mary & Ark,Bart van, 2013. "Economic Growth in Europe," Cambridge Books, Cambridge University Press, number 9781107412446.
    20. Inklaar, Robert & Timmer, Marcel P., 2008. "GGDC Productivity Level Database: International Comparisons of Output, Inputs and Productivity at the Industry Level," GGDC Research Memorandum GD-104, Groningen Growth and Development Centre, University of Groningen.
    21. Mai Dao & Ms. Mitali Das & Zsoka Koczan & Weicheng Lian, 2017. "Why Is Labor Receiving a Smaller Share of Global Income? Theory and Empirical Evidence," IMF Working Papers 2017/169, International Monetary Fund.
    22. vom Lehn, Christian, 2018. "Understanding the decline in the U.S. labor share: Evidence from occupational tasks," European Economic Review, Elsevier, vol. 108(C), pages 191-220.
    23. Giuseppe Fiori & Giuseppe Nicoletti & Stefano Scarpetta & Fabio Schiantarelli, 2012. "Employment Effects of Product and Labour Market Reforms: Are There Synergies?," Economic Journal, Royal Economic Society, vol. 122(558), pages 79-104, February.
    24. 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.
    25. repec:dgr:rugggd:gd-104 is not listed on IDEAS
    26. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    27. Changyuan Luo & Jun Zhang, 2010. "Declining Labor Share: Is China's Case Different?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 18(6), pages 1-18, November.
    28. 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.
    29. Jonathan Haskel & Robert Z. Lawrence & Edward E. Leamer & Matthew J. Slaughter, 2012. "Globalization and U.S. Wages: Modifying Classic Theory to Explain Recent Facts," Journal of Economic Perspectives, American Economic Association, vol. 26(2), pages 119-140, Spring.
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    Cited by:

    1. Alessandro Bellocchi & Giovanni Marin & Giuseppe Travaglini, 2021. "The Great Fall of Labor Share:Micro Determinants for EU Countries Over 2011-2019," Working Papers 2102, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2021.

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    More about this item

    Keywords

    labor shares; technological change; ICT capital; intangible capital;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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