Acemoglu, D., & Restrepo, P. (2018). The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment. American Economic Review, 108(6), 1488-1542.
Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: how technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30.
Acemoglu, D., & Restrepo, P. (2020). Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy, 128(6), 2188-2244.
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58, 277-297.
Arntz M., Gregory, T., & Zierahn, U. (2017). Revisiting the risk of automation. Economics Letters, 159, 157-160.
Arntz, M, Gregory, T, & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. In OECD Social, Employment and Migration Working Papers, No.189, OECD Publishing.
- Barbieri, L., Mussida, C., Piva, M., & Vivarelli, M. (2020). Testing the Employment and Skill Impact of New Technologies. In K. Zimmermann (ed.), Handbook of Labor, Human Resources and Population Economics, Springer, Cham, pp. 1-27.
Paper not yet in RePEc: Add citation now
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115-143.
Blundell, R., & Bond, S. (2000). GMM estimation with persistent panel data: an application to production functions. Econometrics Reviews, 19, 321-340.
Bogliacino, F., & Pianta, M. (2010). Innovation and employment: A reinvestigation using revised Pavitt classes. Research Policy, 39(6), 799-809.
Bogliacino, F., Piva, M., & Vivarelli, M. (2012). R&D and employment: An application of the LSDVC estimator using European data. Economics Letters, 116(1), 56-59.
- Brynjolfsson, E, & McAfee, A. (2011). Race against the machine: How the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy, Digital Frontier Press, Lexington, Massachussets.
Paper not yet in RePEc: Add citation now
- Brynjolfsson, E, & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton, New York.
Paper not yet in RePEc: Add citation now
Calvino, F., & Virgillito, M.E. (2018). The innovation employment nexus: A critical survey of theory and empirics. Journal of Economic Surveys, 32, 83-117.
Chiacchio, F., Petropoulos, G., & Pichler, D. (2018). The impact of industrial robots on EU employment and wages: A local labour market approach. Bruegel Working Paper 2.
Cockburn, I., Henderson, R., & Stern, S. (2019). The Impact of Artificial Intelligence on Innovation. In: A. Agrawal, J. Gans, & A. Goldfarb (Eds.) The economics of artificial intelligence: an agenda. University of Chicago Press and NBER.
Damioli, G., Van Roy, V., & Vertesy, D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Business Review, 11(1), 1-25.
Dauth, W., Findeisen, S., Südekum, J., & Woessner, N. (2017). German robots - The impact of industrial robots on workers. CEPR Discussion Paper No. DP12306.
De Prato, G., López Cobo, M., Samoili, S., Righi, R., Vázquez-Prada Baillet, M., & Cardona, M. (2019) The AI Techno-Economic Segment Analysis. Selected Indicators, EUR29952 EN, Publications Office of the European Union, Luxembourg.
- Dobbs, R,. Manyika, J., & Woetzel, J. (2015). The four global forces breaking all the trends. McKinsey Global Institute, London, San Francisco, Shanghai.
Paper not yet in RePEc: Add citation now
Dosi, G., Piva, M., Virgillito, M.E., & Vivarelli, M. (2021). Embodied and disembodied technological change: The sectoral patterns of job-creation and job-destruction. Research Policy, 50 (4), 10419.
Edquist, C., Hommen, L., & McKelvey, M. (2001). Innovation and Employment: Product Versus Process Innovation. Cheltenham: Elgar.
Ernst, E., Merola, R., & Samaan, D. (2018). The economics of artificial intelligence: Implications for the future of work. International Labour Office (ILO), Future of Work Research Paper Series 5.
- Ernst, H. (1995). Patenting strategies in the German mechanical engineering industry and their relationship to firm performance. Technovation, 15, 225-240.
Paper not yet in RePEc: Add citation now
- Ertel, W. (2018). Introduction to Artificial Intelligence: Undergraduate Topics in Computer Science. Springer International Publishing, New-York.
Paper not yet in RePEc: Add citation now
- European Commission (2003). Commission recommendation of 6 May 2003 concerning the definition of micro, small and medium-sized enterprises. Official Journal of European Union, L124/36.
Paper not yet in RePEc: Add citation now
- European Commission (2018). Artificial Intelligence: A European Perspective. European Commission, Joint Research Centre, Seville. doi:10.2760/936974.
Paper not yet in RePEc: Add citation now
- Freeman, C., & Soete, L. (1987). Technical change and full employment. Basil Blackwell, Oxford.
Paper not yet in RePEc: Add citation now
- Freeman, C., & Soete, L. (1994). Work for All or Mass Unemployment? Computerised Technical Change into the Twenty-first Century. London-New York: Pinter.
Paper not yet in RePEc: Add citation now
Frey, C., & Osborne, M. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280.
Fujii H, & Managi, S. (2018). Trends and priority shifts in artificial intelligence technology invention: A global patent analysis. Economic Analysis and Policy, 58, 60-69.
Gal, P.N. (2013). Measuring total factor productivity at the firm level using OECD-ORBIS. OECD Economics Department Working Papers, No. 1049, OECD Publishing, Paris, https://doi.org/10.1787/5k46dsb25ls6-en.
Gambardella, A., Harhoff, D., & Verspagen, B. (2008). The value of European patents. European Management Review, 5 (2), 69-84.
Graetz, G., & Michaels, G. (2018). Robots at work. The Review of Economics and Statistics, 100(5), 753–768.
Griliches, Z. (1990). Patent statistics as economic indicators: a survey. Journal of Economic Literature, 18, 16611707.
Hall, B., Helmers, C., Rogers, M., & Sena, V. (2014). The choice between formal and informal intellectual property: a review. Journal of Economic Literature, 52 (2), 375-423.
Hall, B., Jaffe, A., & Trajtenberg, M. (2005). Market value and patent citations. RAND Journal of economics, 1638.
- Hallak, I. & Harasztosi, P., (2019). Job Creation in Europe: A firm-level analysis, EUR 29689 EN, Publications Office of the European Union, Luxembourg, doi:10.2760/590043.
Paper not yet in RePEc: Add citation now
Harhoff, D., Scherer, F. M., & Vopel, K. (2003). Citations, family size, opposition and the value of patent rights.
Hussinger, K. (2006). Is silence golden? Patents versus secrecy at the firm level. Economics of Innovation and New Technology, 15(8), 735-752.
- Identifying and measuring developments in artificial intelligence: Making the impossible possible. OECD Science, Technology and Industry Working Papers 2020/05.
Paper not yet in RePEc: Add citation now
Inaba, T., & Squicciarini, M. (2017). ICT: A new taxonomy based on the international patent classification. OECD Science, Technology and Industry Working Papers, No. 2017/01, Paris: OECD Publishing. doi:10.1787/ab16c396en.
Johnstone, N., Hai, I., Poirier, J., Hemar, M. & Michel, C. (2012). Environmental Policy Stringency and Technological Innovation: Evidence from Survey Data and Patent Counts. Applied Economics, 44(17), 2157– 2170.
Katsoulacos, Y.S. (1984). Product innovation and employment. European Economic Review, 26, 83-108.
- Katsoulacos, Y.S. (1986). The Employment Effect of Technical Change. Brighton: Wheatsheaf.
Paper not yet in RePEc: Add citation now
Keisner, A., Raffo, J., & Wunsch-Vincent, S. (2015). Breakthrough technologies – Robotics, innovation and intellectual property. WIPO Economic Research Working Paper No. 30.
Lachenmaier, S., & Rottmann, H. (2011). Effects of innovation on employment: A dynamic panel analysis. International Journal of Industrial Organization, 29(2), 210-220.
Lanjouw, J., & Schankerman, M. (2004). Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators. Economic Journal, 114(495), 441–465.
Levin, R. C., Klevorick, A. K., Nelson, R. R., Winter, S. G., Gilbert, R., & Griliches, Z. (1987). Appropriating the returns from industrial research and development. Brookings papers on economic activity, 1987(3), 783-831.
Lissoni, F., Montobbio, F., & Zirulia, L. (2013). Inventorship and authorship as attribution rights: An enquiry into the economics of scientific credit. Journal of Economic Behavior & Organization, 95, 49-69.
Martinelli, A., Mina, A., & Moggi, M. (2021). The enabling technologies of industry 4.0: Examining the seeds of the fourth industrial revolution. Industrial and Corporate Change, Forthcoming.
Nedelkoska, L., & Quintini, G. (2018). Automation, skills use and training. In OECD Social, Employment and Migration Working Papers, No. 202, OECD Publishing.
Neuhäusler, P., Frietsch, R., Schubert, T., & Blind, K. (2011). Patents and the financial performance of firms-An analysis based on stock market data (No. 28). Fraunhofer ISI Discussion Papers-Innovation Systems and Policy Analysis.
- OECD (2017). OECD Science, Technology and Industry Scoreboard 2017: The digital transformation, Paris: OECD Publishing, doi:10.1787/9789264268821-en.
Paper not yet in RePEc: Add citation now
Pellegrino, G., Piva, M., & Vivarelli, M. (2019). Beyond R&D: the role of embodied technological change in affecting employment. Journal of Evolutionary Economics, 29 (4), 1151-1171.
- Pianta, M. (2005). Innovation and employment. In J. Fagerberg, D. Mowery and R.R. Nelson (eds), Handbook of Innovation. Oxford: Oxford University Press, 568-598.
Paper not yet in RePEc: Add citation now
- Porto, T.C., Lee, K. & Mani, S. (2021). The US–Ireland–India in the catch-up cycles in IT services: MNCs, indigenous capabilities and the roles of macroeconomic variables. Eurasian Business Review, 11(1), 59–82.
Paper not yet in RePEc: Add citation now
Pouliakasn, K. (2018). Determinants of automation risk in the EU labour market: A skills-needs approach. IZA Discussion Paper No. 11829.
Roodman, D. (2009a). How to Do xtabond2: An Introduction to "Difference" and "System" GMM in Stata. Stata Journal, 9, 86-136.
Roodman, D. (2009b). A note on the theme of too many instruments. Oxford Bulletin of Economics and Statistics, 71, 135-158.
- Russell S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach. Pearson Education Limited, Malaysia.
Paper not yet in RePEc: Add citation now
- Schumpeter, J.A. (1912). The theory of economic development. Harvard University Press, Cambridge (Mass.) Engl. Ed. 1968.
Paper not yet in RePEc: Add citation now
- Squicciarini, M., Dernis, H., & Criscuolo, C. (2013). Measuring patent quality. OECD Science, Technology and Industry Working Papers 2013/03.
Paper not yet in RePEc: Add citation now
Staccioli, J., Virgillito, M.E. (2021), Back to the past: the historical roots of labor-saving automation, Eurasian Business Review, 11(1), 27–57.
Ugur, M., Awaworyi, C., & Solomon, E. (2018). Technological innovation and employment in derived labour demand models: A hierarchical meta-regression analysis. Journal of Economics Surveys, 32(1), 50-82.
Van Reenen, J. (1997). Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms, Journal of Labor Economics, 15(2), 255-284.
Van Roy, V., Vertesy, D., & Vivarelli, M. (2018). Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms. Research Policy, 47(9), 1762-1776.
Vivarelli, M. (1995). The economics of technology and employment: Theory and empirical evidence. Elgar, Cheltenham (reprinted 1997).
Vivarelli, M. (2014). Innovation, employment, and skills in advanced and developing countries: A survey of the economic literature. Journal of Economic Issues, 48(1), 123–154.
Webb, M., Short, N., Bloom, N., & Lerner, J. (2018). Some facts of high tech patenting, NBER Working Paper, no. 24793.
- WIPO (2019). WIPO Technology Trends 2019: Artificial Intelligence. Geneva: World Intellectual Property Organization.
Paper not yet in RePEc: Add citation now