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Twisting the Demand Curve: Digitalization and the Older Workforce

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  • Erling Barth
  • James C. Davis
  • Richard B. Freeman
  • Kristina McElheran

Abstract

This paper uses U.S. Census Bureau panel data that link firm software investment to worker earnings. We regress the log of earnings of workers by age group on the software investment by their employing firm. To unpack the potential causal factors for differential software effects by age group we extend the AKM framework by including job-spell fixed effects that allow for a correlation between the worker-firm match and age and by including time-varying firm effects that allow for a correlation between wage-enhancing productivity shocks and software investments. Within job-spell, software capital raises earnings at a rate that declines post age 50 to about zero after age 65. By contrast, the effects of non-IT equipment investment on earnings increase for workers post age 50. The difference between the software and non-IT equipment effects suggests that our results are attributable to the technology rather than to age-related bargaining power. Our data further show that software capital increases the earnings of high-wage workers relative to low-wage workers and the earnings in high-wage firms relative to low-wage firms, and may thus widen earnings inequality within and across firms.

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  • Erling Barth & James C. Davis & Richard B. Freeman & Kristina McElheran, 2020. "Twisting the Demand Curve: Digitalization and the Older Workforce," NBER Working Papers 28094, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:28094
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    3. David Card & Stefano DellaVigna & Patricia Funk & Nagore Iriberri, 2020. "Are Referees and Editors in Economics Gender Neutral?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 269-327.
    4. Anders Akerman & Ingvil Gaarder & Magne Mogstad, 2015. "The Skill Complementarity of Broadband Internet," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1781-1824.
    5. John Van Reenen, 1996. "The Creation and Capture of Rents: Wages and Innovation in a Panel of U. K. Companies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(1), pages 195-226.
    6. Luc Behaghel & Eve Caroli & Muriel Roger, 2014. "Age-biased Technical and Organizational Change, Training and Employment Prospects of Older Workers," Economica, London School of Economics and Political Science, vol. 81(322), pages 368-389, April.
    7. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    8. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    9. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    10. Kristina McElheran, 2015. "Do Market Leaders Lead in Business Process Innovation? The Case(s) of E-business Adoption," Management Science, INFORMS, vol. 61(6), pages 1197-1216, June.
    11. Pål Schøne, 2009. "New technologies, new work practices and the age structure of the workers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(3), pages 803-826, July.
    12. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    13. Luc Behaghel & Nathalie Greenan, 2010. "Training and Age-Biased Technical Change," Annals of Economics and Statistics, GENES, issue 99-100, pages 317-342.
    14. repec:hal:pseose:halshs-00978400 is not listed on IDEAS
    15. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    16. Marcus Dillender, 2019. "Computerization of White Collar Jobs," Upjohn Working Papers 19-310, W.E. Upjohn Institute for Employment Research.
    17. Beckmann, Michael & Schauenberg, Bernd, 2007. "Age-biased technological and organizational change: firm-level evidence and management implications," Working papers 2007/05, Faculty of Business and Economics - University of Basel.
    18. Chris Forman & Avi Goldfarb & Shane Greenstein, 2012. "The Internet and Local Wages: A Puzzle," American Economic Review, American Economic Association, vol. 102(1), pages 556-575, February.
    19. Engbom, Niklas & Moser, Christian & Sauermann, Jan, 2023. "Firm pay dynamics," Journal of Econometrics, Elsevier, vol. 233(2), pages 396-423.
    20. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    21. 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.
    22. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    23. 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.
    24. Sherwin Rosen, 1975. "Measuring the Obsolescence of Knowledge," NBER Chapters, in: Education, Income, and Human Behavior, pages 199-232, National Bureau of Economic Research, Inc.
    25. Timothy Bresnahan & Shane Greenstein, 1996. "Technical Progress and Co-invention in Computing and in the Uses of Computers," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1996 Micr), pages 1-83.
    26. repec:adr:anecst:y:2010:i:99-100:p:13 is not listed on IDEAS
    27. John J. Abowd & John Haltiwanger & Julia Lane, 2004. "Integrated Longitudinal Employer-Employee Data for the United States," American Economic Review, American Economic Association, vol. 94(2), pages 224-229, May.
    28. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    29. Erling Barth & James Davis & Richard B. Freeman, 2018. "Augmenting the Human Capital Earnings Equation with Measures of Where People Work," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 71-97.
    30. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    31. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    32. Lars Vilhuber, 2018. "LEHD Infrastructure S2014 files in the FSRDC," Working Papers 18-27r, Center for Economic Studies, U.S. Census Bureau.
    33. Paul Gaggl & Greg C. Wright, 2017. "A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 262-294, July.
    34. Christopher Cornwell & Ian M. Schmutte & Daniela Scur, 2021. "Building a Productive Workforce: The Role of Structured Management Practices," Management Science, INFORMS, vol. 67(12), pages 7308-7321, December.
    35. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David Beede & Catherine Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," Working Papers 20-40, Center for Economic Studies, U.S. Census Bureau.
    36. Leora Friedberg, 2003. "The Impact of Technological Change on Older Workers: Evidence from Data on Computer Use," ILR Review, Cornell University, ILR School, vol. 56(3), pages 511-529, April.
    37. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 149-230, National Bureau of Economic Research, Inc.
    38. Ann Bartel & Casey Ichniowski & Kathryn Shaw, 2007. "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1721-1758.
    39. Avner Ahituv & Joseph Zeira, 2011. "Technical Progress and Early Retirement," Economic Journal, Royal Economic Society, vol. 121(551), pages 171-193, March.
    40. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
    41. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    42. P. Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, workplace organisation and the age structure of the workforce [Nouvelles technologies et nouvelles formes d'organisation du travail : quelles conséquences pour l'emploi des salari," Post-Print hal-02656040, HAL.
    43. Ashwini Agrawal & Prasanna Tambe, 2016. "Private Equity and Workers’ Career Paths: The Role of Technological Change," The Review of Financial Studies, Society for Financial Studies, vol. 29(9), pages 2455-2489.
    44. Rita K. Almeida & Ana M. Fernandes & Mariana Viollaz, 2020. "Software Adoption, Employment Composition, and the Skill Content of Occupations in Chilean Firms," Journal of Development Studies, Taylor & Francis Journals, vol. 56(1), pages 169-185, January.
    45. Scur, Daniela & Schmutte, Ian & Cornwell, Christopher, 2019. "Building a productive workforce: the role of structured management," CEPR Discussion Papers 13908, C.E.P.R. Discussion Papers.
    46. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    47. David Autor & David Dorn, 2009. "This Job Is "Getting Old": Measuring Changes in Job Opportunities Using Occupational Age Structure," American Economic Review, American Economic Association, vol. 99(2), pages 45-51, May.
    48. 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.
    49. Lachowska, Marta & Mas, Alexandre & Saggio, Raffaele & Woodbury, Stephen A., 2023. "Do firm effects drift? Evidence from Washington administrative data," Journal of Econometrics, Elsevier, vol. 233(2), pages 375-395.
    50. Joyce K. Hahn & Henry R. Hyatt & Hubert P. Janicki & Stephen R. Tibbets, 2017. "Job-to-Job Flows and Earnings Growth," American Economic Review, American Economic Association, vol. 107(5), pages 358-363, May.
    51. Dave Byrne & Carol Corrado, 2017. "ICT Prices and ICT Services: What Do They Tell Us About Productivity and Technology," International Productivity Monitor, Centre for the Study of Living Standards, vol. 33, pages 150-181, Fall.
    52. Lars Vilhuber, 2018. "LEHD Infrastructure S2014 files in the FSRDC," Working Papers 18-27, Center for Economic Studies, U.S. Census Bureau.
    53. Giovanni L. Violante, 2002. "Technological Acceleration, Skill Transferability, and the Rise in Residual Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 297-338.
    54. Henry Hyatt & Erika McEntarfer & Ken Ueda & Alexandria Zhang, 2018. "Interstate Migration and Employer-to-Employer Transitions in the United States: New Evidence From Administrative Records Data," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2161-2180, December.
    55. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    56. Erling Barth & Alex Bryson & James C. Davis & Richard Freeman, 2016. "It's Where You Work: Increases in the Dispersion of Earnings across Establishments and Individuals in the United States," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 67-97.
    57. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    58. Patrick Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, organisation and age: firm-level evidence," Economic Journal, Royal Economic Society, vol. 116(509), pages 73-93, February.
    59. Torbjørn Hægeland & Dag Rønningen & Kjell G. Salvanes, 2007. "Adapt or withdraw? Evidence on technological changes and early retirement using matched worker-firm data," Discussion Papers 509, Statistics Norway, Research Department.
    60. Atalay, Enghin & Phongthiengtham, Phai & Sotelo, Sebastian & Tannenbaum, Daniel, 2018. "New technologies and the labor market," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 48-67.
    61. Agrawal, Ashwini & Tambe, Prasanna, 2016. "Private equity and workers’ career paths: the role of technological change," LSE Research Online Documents on Economics 69476, London School of Economics and Political Science, LSE Library.
    62. Marco Paccagnella, 2016. "Age, Ageing and Skills: Results from the Survey of Adult Skills," OECD Education Working Papers 132, OECD Publishing.
    63. David M. Byrne & Carol Corrado, 2017. "ICT Services and their Prices: What do they tell us about Productivity and Technology?," Finance and Economics Discussion Series 2017-015, Board of Governors of the Federal Reserve System (U.S.).
    64. repec:dau:papers:123456789/10051 is not listed on IDEAS
    65. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390, CPB Netherlands Bureau for Economic Policy Analysis.
    66. repec:dau:papers:123456789/7243 is not listed on IDEAS
    67. Bartel, Ann P & Sicherman, Nachum, 1993. "Technological Change and Retirement Decisions of Older Workers," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 162-183, January.
    68. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    69. Prasanna Tambe & Lorin M. Hitt, 2012. "The Productivity of Information Technology Investments: New Evidence from IT Labor Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 599-617, September.
    70. Bruce T. Grimm & Brent R. Moulton & David B. Wasshausen, 2005. "Information-Processing Equipment and Software in the National Accounts," NBER Chapters, in: Measuring Capital in the New Economy, pages 363-402, National Bureau of Economic Research, Inc.
    71. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    72. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    73. 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.
    74. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-1165, December.
    75. Timothy Dunne & J. Bradford Jensen & Mark J. Roberts, 2009. "Producer Dynamics: New Evidence from Micro Data," NBER Books, National Bureau of Economic Research, Inc, number dunn05-1, October.
    76. Weinberg, Bruce A., 2004. "Experience and Technology Adoption," IZA Discussion Papers 1051, Institute of Labor Economics (IZA).
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    3. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
    4. Allen, Steven G., 2023. "Demand for older workers: What do we know? What do we need to learn?," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
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    More about this item

    JEL classification:

    • J0 - Labor and Demographic Economics - - General
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • 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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