AI technologies and employment: micro evidence from the supply side

References

• Acemoglu, D., and P. Restrepo. 2018. “The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment.” American Economic Review 108 (6): 1488–1542. doi:10.1257/aer.20160696.
   Web of Science ®Google Scholar
• Acemoglu, D., and P. Restrepo. 2020. “Robots and Jobs: Evidence from US Labor Markets.” Journal of Political Economy 128 (6): 2188–2244. doi:10.1086/705716.
   Web of Science ®Google Scholar
• Arntz, M., T. Gregory, and U. Zierahn. 2017. “Revisiting the Risk of Automation.” Economics Letters 159: 157–160. doi:10.1016/j.econlet.2017.07.001.
   Web of Science ®Google Scholar
• Blundell, R., and S. Bond. 1998. “Initial Conditions and Moment Restrictions in Dynamic Panel Data Models.” Journal of Econometrics 87: 115–143. doi:10.1016/S0304-4076(98)00009-8.
   Web of Science ®Google Scholar
• Blundell, R., and S. Bond. 2000. “GMM Estimation with Persistent Panel Data: An Application to Production Functions.” Econometrics Reviews 19: 321–340. doi:10.1080/07474930008800475.
   Google Scholar
• Bogliacino, F., and M. Pianta. 2010. “Innovation and Employment: A Reinvestigation Using Revised Pavitt Classes.” Research Policy 39 (6): 799–809. doi:10.1016/j.respol.2010.02.017.
   Web of Science ®Google Scholar
• Bogliacino, F., M. Piva, and M. Vivarelli. 2012. “R&D and Employment: An Application of the LSDVC Estimator Using European Data.” Economics Letters 116 (1): 56–59. doi:10.1016/j.econlet.2012.01.010.
   Web of Science ®Google Scholar
• Brynjolfsson, E., and A. McAfee. 2014. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: W.W. Norton.
   Google Scholar
• Calvino, F., and M. E. Virgillito. 2018. “The Innovation Employment Nexus: A Critical Survey of Theory and Empirics.” Journal of Economic Surveys 32: 83–117. doi:10.1111/joes.12190.
   Web of Science ®Google Scholar
• Cockburn, I., R. Henderson, and S. Stern. 2019. “The Impact of Artificial Intelligence on Innovation.” In The Economics of Artificial Intelligence: An Agenda, edited by A. Agrawal, J. Gans, and A. Goldfarb. University of Chicago Press and NBER.
   Google Scholar
• Damioli, G., V. Van Roy, and D. Vertesy. 2021. “The Impact of Artificial Intelligence on Labor Productivity.” Eurasian Business Review 11 (1): 1–25. doi:10.1007/s40821-020-00172-8.
   Web of Science ®Google Scholar
• Edquist, C., L. Hommen, and M. McKelvey. 2001. Innovation and Employment: Product versus Process Innovation. Cheltenham: Elgar.
   Google Scholar
• Ertel, W. 2018. Introduction to Artificial Intelligence: Undergraduate Topics in Computer Science. New York: Springer International Publishing.
   Google Scholar
• Frey, C., and M. Osborne. 2017. “The Future of Employment: How Susceptible are Jobs to Computerisation?” Technological Forecasting and Social Change 114: 254–280. doi:10.1016/j.techfore.2016.08.019.
   Web of Science ®Google Scholar
• Graetz, G., and G. Michaels. 2018. “Robots at Work.” The Review of Economics and Statistics 100 (5): 753–768. doi:10.1162/rest_a_00754.
   Web of Science ®Google Scholar
• Hall, B., A. Jaffe, and M. Trajtenberg. 2005. “Market Value and Patent Citations.” RAND Journal of Economics 16–38.
   Web of Science ®Google Scholar
• Harhoff, D., F. M. Scherer, and K. Vopel. 2003. “Citations, Family Size, Opposition and the Value of Patent Rights.” Research Policy 32 (8): 1343–1363. doi:10.1016/S0048-7333(02)00124-5.
   Web of Science ®Google Scholar
• Katsoulacos, Y. S. 1984. “Product Innovation and Employment.” European Economic Review 26: 83–108. doi:10.1016/0014-2921(84)90023-0.
   Web of Science ®Google Scholar
• Lachenmaier, S., and H. Rottmann. 2011. “Effects of Innovation on Employment: A Dynamic Panel Analysis.” International Journal of Industrial Organization 29 (2): 210–220. doi:10.1016/j.ijindorg.2010.05.004.
   Web of Science ®Google Scholar
• Lanjouw, J., and M. Schankerman. 2004. “Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators.” Economic Journal 114 (495): 441–465. doi:10.1111/j.1468-0297.2004.00216.x.
   Web of Science ®Google Scholar
• Roodman, D. 2009a. “How to Do Xtabond2: An Introduction to “Difference” and “System” GMM in Stata.” Stata Journal 9: 86–136. doi:10.1177/1536867X0900900106.
   Web of Science ®Google Scholar
• Roodman, D. 2009b. “A Note on the Theme of Too Many Instruments.” Oxford Bulletin of Economics and Statistics 71: 135–158. doi:10.1111/j.1468-0084.2008.00542.x.
   Web of Science ®Google Scholar
• Russell, S., and P. Norvig. 2016. Artificial Intelligence: A Modern Approach. Malaysia: Pearson Education Limited.
   Google Scholar
• Schumpeter, J. A. 1912. The Theory of Economic Development. (Mass.) Engl. Ed. 1968, Cambridge: Harvard University Press.
   Google Scholar
• Staccioli, J., and M. E. Virgillito. 2021. “Back to the Past: The Historical Roots of Labor-saving Automation.” Eurasian Business Review 11 (1): 27–57. doi:10.1007/s40821-020-00179-1.
   Web of Science ®Google Scholar
• Van Reenen, J. 1997. “Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms.” Journal of Labor Economics 15 (2): 255–284. doi:10.1086/209833.
   Web of Science ®Google Scholar
• Van Roy, V., D. Vertesy, and G. Damioli. 2020. “AI and Robotics Innovation.” In Handbook of Labor, Human Resources and Population Economics, edited by K. Zimmermann, 1–35.
   Google Scholar
• Van Roy, V., D. Vertesy, and M. Vivarelli. 2018. “Technology and Employment: Mass Unemployment or Job Creation? Empirical Evidence from European Patenting Firms.” Research Policy 47 (9): 1762–1776. doi:10.1016/j.respol.2018.06.008.
   Web of Science ®Google Scholar
• Vivarelli, M. 1995. The Economics of Technology and Employment: Theory and Empirical Evidence. Elgar, Cheltenham. (reprinted 1997).
   Google Scholar