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Economics of Artificial Intelligence: Implications for the Future of Work Cover

Economics of Artificial Intelligence: Implications for the Future of Work

Open Access
|Aug 2019

References

  1. Acemoglu, D. (2002): Technical Change, Inequality, and the Labor Market. Journal of Economic Literature 40(1), 7-72.10.1257/jel.40.1.7
  2. Acemoglu, D.; U. Akcigit; H. Alp; N. Bloom; W. Kerr (2018): Innovation, Reallocation, and Growth. American Economic Review 108(11), 3450-3491.10.1257/aer.20130470
  3. Acemoglu, D.; D. Autor (2011): Skills, Tasks and Technologies: Implications for Employment and Earnings, in: Ashenfelter, O.; D. Card (eds.), Handbook of Labor Economics, Vol. 4B. Amsterdam, North Holland: Elsevier, 1043-1172.
  4. Acemoglu, D.; P. Restrepo (2017): Robots and Jobs: Evidence from US Labor Markets. NBER Working Paper No. 22252. Cambridge, MA: National Bureau of Economic Research.
  5. Acemoglu, D.; (2018): Artificial Intelligence, Automation and Work. NBER Working Paper No. 24196. Cambridge, MA: National Bureau of Economic Research.
  6. Aghion, P.; N. Bloom; R. Blundell; R. Griffith; P. Howitt (2005): Competition and Innovation: An Inverted-U Relationship. Quarterly Journal of Economics 120(2), 701-728.
  7. Agrawal, A. K.; J. S. Gans; A. Goldfarb (2018a): Prediction Machines: The Simple Economics of Artificial Intelligence. Boston, MA: Harvard Business Review Press.
  8. Agrawal, A. K.; (2018b): Economic Policy for Artificial Intelligence. NBER Working Paper No. 24690. Cambridge, MA: National Bureau of Economic Research.
  9. Albertini, J.; J.-O. Hairault; F. Langot; T. Sopraseuth (2017): A Tale of Two Countries: A Story of the French and US Polarization. IZA Discussion Paper No. 11013. Bonn: Institute for the Study of Labor.
  10. Andrews, D.; C. Criscuolo; P. N. Gal (2016): The Best Versus the Rest: The Global Productivity Slowdown, Divergence Across Firms and the Role of Public Policy. OECD Productivity Working Paper No. 5. Paris: Organisation for Economic Co-operation and Development.
  11. Arntz, M.; T. Gregory; U. Zierahn (2016): The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. OECD Social, Employment and Migration Working Paper No. 189. Paris: Organisation for Economic Co-operation and Development.
  12. Arntz, M.; (2017): Revisiting the Risk of Automation. Economic Letters 159, 157-160.10.1016/j.econlet.2017.07.001
  13. Autor, D. H. (2010): The Polarization of Job Opportunities in the U.S. Labor Market: Implications for Employment and Earnings. Washington, DC: Center for Economic Progress.
  14. Autor, D. H.; D. Dorn; L. Katz; C. Patterson; J. Van Reenen (2017a): Concentrating on the Decline in Labor’s Share. American Economic Review Papers and Proceedings 107(5), 180-185.10.1257/aer.p20171102
  15. Autor, D. H.; (2017b): The Fall of the Labor Share and the Rise of Superstar Firms. NBER Working Paper No. 23396. Cambridge, MA: National Bureau of Economic Research.
  16. Autor, D. H.; F. Levy; R. J. Murnane (2003): The Skill Content of Recent Technological Change: An Empirical Exploration. Quarterly Journal of Economics 118(4), 1279-1333.10.1162/003355303322552801
  17. Autor, D. H.; L. F. Katz; M. S. Kearney (2006): The Polarization of the U.S. Labor Market. American Economic Review Papers and Proceedings 96(2), 189-194.10.1257/000282806777212620
  18. Bárány, Z. L.; C. Siegel (2018): Job Polarization and Structural Change. American Economic Journal: Macroeconomics 10(1), 57-89.
  19. Benhamou, S.; L. Janin (2018): Intélligence artificielle et travail. Paris: France Stratégie.
  20. Berg, A.; E. F. Buffie; L.-F. Zanna (2018a): Robots, Growth, and Inequality: Should We Fear the Robot Revolution? (The Correct Answer is Yes). IMF Working Paper No. 18/116. Washington DC: International Monetary Fund.
  21. Berg, J.; M. Furrer; E. Harmon; U. Rani; M. S. Silberman (2018b): Digital Labour Platforms and the Future of Work: Towards Decent Work in the Online World. Geneva: International Labour Office.
  22. Bessen, J. (2015a): How Computer Automation Affects Occupations: Technology, Jobs, and Skills. Law and Economics Research Paper No. 15-49. Boston: Boston University School of Law.
  23. Bessen, J.; (2015b): Learning by Doing: The Real Connection Between Innovation, Wages, and Wealth. New Haven: Yale University Press.
  24. Bessen, J.; (2017a): Information Technology and Industry Concentration. Law and Economics Research Paper No. 17-41. Boston: Boston University School of Law.
  25. Bessen, J.; (2017b): Automation and Jobs: When Technology Boosts Employment. Law and Economics Research Paper No. 17-09. Boston: Boston University School of Law.
  26. Bessen, J.; (2018): AI and Jobs: The Role of Demand, Mimeo. http://www.nber.org/chapters/c14029.pdf Accessed 13 June 2018.
  27. Boone, J. (2001): Intensity of Competition and the Incentive to Innovate. International Journal of Industrial Organization 19, 705-726.10.1016/S0167-7187(00)00090-4
  28. Braverman, H. (1974): Labor and Monopoly Capital: The Degradation of Work in the Twentieth Century. New York: Monthly Review Press.
  29. Bunker, N. (2016): Why Declining US Labour Mobility is About More Than Geography. New York: World Economic Forum. https://www.weforum.org/agenda/2016/09/why-declining-us-labour-mobility-is-about-more-than-geography.
  30. Carbonero, F.; E. Ernst; E. Weber (2018): Robots Worldwide: The Impact of Automation on Employment and Trade, ILO Research Department Working Paper No. 36. Geneva: International Labour Office.
  31. Chiacchio, F.; G. Petropoulos; D. Pichler (2018): The Impact of Industrial Robots on EU Employment and Wages: A Local Labour Market Approach. Bruegel Working Paper No. 2. Brussels, Bruegel. http://bruegel.org/wp-content/uploads/2018/04/Working-Paper-AB_25042018.pdf Accessed 14 June 2018.
  32. Ciminelli, G.; E. Ernst; M. Giuliodori; R. Merola (2017): The Composition Effects of Tax-Based Consolidations on Income Inequality. ILO Research Department Working Paper No. 19. Geneva: ILO.
  33. Cockburn, I. M.; R. Henderson; S. Stern (2018): The Impact of Artificial Intelligence on Innovation. NBER Working Paper No. 24449. Cambridge, MA: National Bureau of Economic Research.
  34. Cohen, R. B. (2018): Business Use of Artificial Intelligence (AI) and Machine Learning (CL) and its Impact on the U.S. Economy. ESI Research Report. Washington DC: Economic Strategy Institute.
  35. Culey, S. (2012): Transformers: Supply Chain 3.0 and how Automation will Transform the Rules of the Global Supply Chain. The European Business Review (Online).
  36. Danninger, S. (2016): What’s up with U.S. Wage Growth and Job Mobility? IMF Working Paper No. 16/122. Washington DC: International Monetary Fund.
  37. David, P. A. (1990): The Dynamo and the Computer: A Historical Perspective on the Modern Productivity Paradox. American Economic Review Papers and Proceedings, 355-361.
  38. De Backer, K.; T. DeStefano; C. Menon; J. R. Suh (2018): Industrial Robotics and the Global Organisation of Production. OECD Science, Technology and Industry Working Paper No. 2018/03. Paris: Organisation for Economic Co-operation and Development.
  39. De Backer, K.; C. Menon; I. Desnoyers-James; L. Moussiegt (2016): Reshoring: Myth or Reality? OECD Science. Technology and Industry Working Paper No. 2016/27. Paris: Organisation for Economic Co-operation and Development.
  40. Deming, D. J. (2017): The Growing Importance of Social Skills in the Labor Market. Quarterly Journal of Economics 132(4), 1593-1640.10.1093/qje/qjx022
  41. De Stefano, V. (2018): “Negotiating the Algorithm”: Automation, Artificial Intelligence and Labour Protection. Employment Working Paper No. 246. Geneva: International Labour Office.
  42. Ernst, E. (2015): How Unemployment Benefits can Help Unemployed Workers and Strengthen Job Creation. International Social Security Review 68(3), 43-67.10.1111/issr.12079
  43. Ernst, E.; (2018): Is Technological Change Accelerating? ILO Briefing for the Global Commission on the Future of Work. Geneva: International Labour Office.
  44. Ernst, E.; Chentouf, L. (2014): Work Organisation and Incentives. Global and Local Economies Review 18(1), 103-135.
  45. Falcão, T. (2018a): Taxing the Digital Economy: Policy Considerations and how to Advance the Debate. Tax Notes International 12 Feb, 623-628.
  46. Falcão, T.; (2018b): “Should My Dishwasher Pay A Robot Tax? Tax Notes International 11 June, 1273-1277.
  47. Frey, C. B.; M. A. Osborne (2017): The Future of Employment: How Susceptible are Jobs to Computerisation? Technological Forecasting and Social Change 114(C), 254-280.10.1016/j.techfore.2016.08.019
  48. Freeman, R. (2016): Who Owns the Robots Rules the World: The Deeper Threat of Robotization. Harvard Magazine May-June. https://harvardmagazine.com/2016/05/who-owns-the-robots-rules-the-world
  49. Frey, C. B.; J. Blasi; D. Kruse (2009): Shared Capitalism at Work: Employee Ownership, Profit and Gain Sharing, and Broad-Based Stock Options. Chicago: University of Chicago Press.
  50. Fujii, H.; S. Managi (2018): Trends and Priority Shifts in Artificial Intelligence Technology Invention: A Global Patent Analysis. Economic Analysis and Policy 58(C) 60-69.10.1016/j.eap.2017.12.006
  51. Furman, J.; R. Seamans (2018): AI and the Economy. NBER Working Paper No. 24689. Cambridge, MA: National Bureau of Economic Research.
  52. Gifford, D. J.; R. T. Kudrle (2010): “The Law and Economics of Price Discrimination in Modern Economies: Time for Reconciliation? UC Davis Law Review, No. 1235. http://scholarship.law.umn.edu/faculty_articles/358
  53. Goldin, C.; L. Katz (1998): The Origins of Technology-Skill Complementarity. Quarterly Journal of Economics 113(3), 693-732.10.1162/003355398555720
  54. Gordon, R. J. (2016): The Rise and Fall of American Growth. The U.S. Standard of Living Since the Civil War. Princeton, NJ: Princeton University Press.
  55. Grabher-Meyer, N.; P. Gmyrek (2017): Big Data and Artificial Intelligence in the ILO’s Development Cooperation. State of Play, Ideas, Opportunities and Threats. Geneva: ILO.
  56. Graetz, G.; G. Michaels (2015): Robots at Work. IZA Discussion Paper No. 8938. Bonn: Institute for the Study of Labor.
  57. Harari, Y. N. (2016): Homo deus. A Brief History of Tomorrow. London: Harvill Secker.
  58. Ibarra, I. A.; L. Goff; D. J. Hernández; J. Lanier; E. G. Weyl (2018): Should we Treat Data as Labor? Moving Beyond ‘Free’. American Economic Association Papers and Proceedings 108, 38-42.
  59. ICF. (2016): Global Coaching Study. Lexington, KS: International Coach Federation.
  60. ILO. (2015): World Employment and Social Outlook. Trends. Geneva: International Labour Office.
  61. ILO. (2016): Global Wage Report: Wage Inequality in the Workplace. Geneva: International Labour Office.
  62. ILO. (2018): World Employment and Social Outlook. Trends. Geneva: International Labour Office.
  63. IMF. (2018): Technology and the Future of Work. G20 Background Note. Washington DC: International Monetary Fund. http://www.imf.org/external/np/g20/pdf/2018/041118.pdf Accessed 13 June 2018.
  64. Kearney, A. T. (2017): Global Services Location Index: The Widening Impact of Automation. New York. https://www.atkearney.com/documents/20152/793366/The+Widening+Impact+of+Automation.pdf
  65. Korinek, A.; D. X. Ng (2017): The Macroeconomics of Superstars. Mimeo. http://www.korinek.com/download/Superstars.pdf
  66. Korinek, A.; J. Stiglitz (2017): Artificial Intelligence and its Implications for Income Distribution and Unemployment. NBER Working Paper No. 24174. Cambridge, MA: National Bureau of Economic Research.
  67. Kurtulus, F.; D. Kruse (2017): How did Employee Ownership Firms Weather the Last Two Recessions? Employee Ownership, Employment Stability, and Firm Survival: 1999-2011. Kalamazoo, MI: W.E. Upjohn Institute for Employment Research.
  68. Logg, J. M.; J. A. Minson; D. A. Moore (2018): Algorithm Appreciation: People Prefer Algorithmic to Human Judgment. Harvard Business School Working Paper No. 17-086. Cambridge, MA: Harvard University.
  69. Marglin, S. A. (1974): What do Bosses do? The Origins and Functions of Hierarchy in Capitalist Production. Review of Radical Political Economics 6(2), 60-112.10.1177/048661347400600206
  70. Marshall, A. (1890): Principles of Economics: London: Macmillan.
  71. Mazzucato, M. (2013): The Entrepreneurial State: Debunking Public vs. Private Sector Myths. London: Anthem Press.
  72. Méda, D. (2016): The Future of Work: The Meaning and Value of Work in Europe. ILO Research Paper No. 18. Geneva: International Labour Office.
  73. MGI (2015): A Labor Market that Works: Connecting Talent with Opportunity in the Digital Age. Washington DC: McKinsey Global Institute.
  74. MGI. (2017): Reinventing Construction: A Route to Higher Productivity. Washington DC: McKinsey Global Institute.
  75. MGI. (2018a): AI, Automation, and the Future of Work: Ten Things to Solve for. Washington DC: McKinsey Global Institute.
  76. MGI; (2018b): Skill Shift. Automation and the Future of the Workforce. Washington DC: McKinsey Global Institute.
  77. Molloy, R.; C. S. Smith; A. K. Wozniak (2014): Declining Migration within the US: The Role of the Labor Market. NBER Working Paper No. 20065. Cambridge, MA: National Bureau of Economic Research.
  78. Moretti, E. (2012): The New Geography of Jobs. Boston: Houghton Mifflin Harcourt.
  79. Naudé, W.; P. Nagler (2015): Industrialisation, Innovation, Inclusion. UNIDO Working Paper No. 15/2015. Vienna: United Nations Industrial Development Organization.
  80. OECD (2015a): Data-Driven Innovation. Paris: Organisation for Economic Co-operation and Development.
  81. OECD (2015b): Addressing the Tax Challenges of the Digital Economy ACTION 1: 2015 Final Report. Paris: Organisation for Economic Co-operation and Development.
  82. OECD (2017): Digital Economy Outlook. Paris: Organisation for Economic Co-operation and Development.
  83. OECD (2018): Tax Challenges Arising from Digitalisation: Interim Report 2018: Inclusive Framework on BEPS, in: OECD/G20 Base Erosion and Profit Shifting Project. Paris: Organisation for Economic Co-operation and Development.
  84. Ponce Del Castillo, A. (2018): Artificial Intelligence: A Game Changer for the World of Work. Foresight Brief No. 5. Brussels: European Trade Union Institute.
  85. Rifkin, J. (2014): The Zero Marginal Cost Society: The Internet of Things, the Collaborative Commons, and the Eclipse of Capitalism. New York: St. Martin’s Press.
  86. Rosen, S. (1981): The Economics of Superstars. American Economic Review 71(5), 845-858.
  87. Runst, P. (2018): The Effect of Occupational Licensing Deregulation on Migrants in the German Skilled Crafts Sector. European Journal of Law and Economics 45(3), 555-589.10.1007/s10657-018-9583-x
  88. Scassa, T. (2018): Data Ownership. CIGI Papers No. 187. Waterloo: Centre for International Governance Innovation.
  89. Schwab, K. (2016): The Fourth Industrial Revolution. Geneva: World Economic Forum.
  90. Semmler, W.; P. Chen (2017): Short and Long-Run Effects of Productivity on Unemployment, Mimeo. https://ssrn.com/abstract=2907539 Accessed 12 June 2018.
  91. Sengenberger, W. (1987): Struktur und Funktionsweise von Arbeitsmärkten: Die Bundesrepublik Deutschland im internationalen Vergleich. Frankfurt am Main: Campus Verlag.
  92. Simon, H. (1960): The New Science of Management Decision. New York: Harper.
  93. Sirkin, H. L.; M. Zinser; J. R. Rose (2014): The Shifting Economics of Global Manufacturing: How Cost Competitiveness is Changing Worldwide. Boston, MA; Boston Consulting Group.
  94. Stucke, M. E.; A. P. Grunes (2016): Big Data and Competition Policy. Oxford: Oxford University Press.
  95. Tirole, J. (1988): The Theory of Industrial Organization. Cambridge, MA: MIT Press.
  96. Turing, A. M. (1950): Computing Machinery and Intelligence. Mind 49, 433-460. https://www.csee.umbc.edu/courses/471/papers/turing.pdf
  97. UNCTAD. (2016): Robots and Industrialization in Developing Countries. Policy Brief No. 50. Geneva: United Nations Conference on Trade and Development.
  98. Varian, H. R. (1985): Price Discrimination and Social Welfare. American Economic Review 75(4), 870-875.
  99. Vivarelli, M. (2014): Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of Economic Literature. Journal of Economic Issues 48(1), 123-154.`World Bank (2016): World Development Report: Digital Dividends. Washington, DC.10.2753/JEI0021-3624480106
  100. Zhang, X.; J. Yang; S. Wang (2011): “China has Reached the Lewis Turning Point. China Economic Review 22(4), 542-554.10.1016/j.chieco.2011.07.002
Language: English
Published on: Aug 14, 2019
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© 2019 Ekkehardt Ernst, Rossana Merola, Daniel Samaan, published by Sciendo
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