Acemoglu, D., Restrepo, P., 2018. Low-skill and high-skill automation. Journal of Human Capital 12, 204–232.
Acemoglu, D., Restrepo, P., 2019. Automation and new tasks: how technology displaces and reinstates labor. Journal of Economic Perspectives 38, 3–30.
Acemoglu, D., Restrepo, P., 2020. Robots and jobs: Evidence from US labor markets. Journal of Political Economy 128, 2188–2244.
- Acemoglu, D., Restrepo, P., 2021. Demographics and Automation. The Review of Economic Studies 89, 1–44.
Paper not yet in RePEc: Add citation now
Adams, Z., Bastani, P., Bishop, L., Deakin, S., 2017. The cbr-lri dataset: Methods, properties and potential of leximetric coding of labour laws. International Journal of Comparative Labour Law and Industrial Relations 33.
Addison, J.T., Schank, T., Schnabel, C., Wagner, J., 2007. Do works councils inhibit investment? Industrial and Labor Relations Review 60, 187–203.
- Aghion, P., Antonin, C., Bunel, S., Jaravel, X., 2021. The Direct and Indirect Effects of Automation on Employment: A Survey of the Recent Literature. Unpublished manuscript .
Paper not yet in RePEc: Add citation now
- Autor, D., Mindell, D., Reynolds, E., 2020. The Work of the Future: Shaping Technology and Institutions. Technical Report.
Paper not yet in RePEc: Add citation now
Autor, D.H., 2015. Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives 29, 3–30.
- Barbieri, L., Mussida, C., Piva, M., Vivarelli, M., 2020. Testing the employment and skill impact of new technologies, in: Zimmermann, K.F. (Ed.), Handbook of Labor, Human Resources and Population Economics. New York: Springer.
Paper not yet in RePEc: Add citation now
Barth, E., Roed, M., Schøne, P., Umblijs, J., 2020. How robots change within-firm wage inequality. IZA DP No. 13605 .
- Battisti, M., Dustmann, C., Schönberg, U., 2021. Technological and Organizational Change and the Careers of Workers. Unpublished manuscript .
Paper not yet in RePEc: Add citation now
Battisti, M., Gravina, A.F., 2021. Do robots complement or substitute for older workers? Economics Letters 208.
Belloc, F., Burdin, G., Cattani, L., Ellis, W., Landini, F., 2022. Coevolution of job automation risk and workplace governance. Research Policy forthcoming.
Belloc, F., Burdin, G., Landini, F., 2020. Corporate hierarchies under employee representation. IZA Discussion Paper, no. 13717 .
Berg, A., Buffie, E.F., Zanna, L.F., 2018. Should we fear the robot revolution?(The correct answer is yes). Journal of Monetary Economics 97, 117–148.
Berton, F., Devicienti, F., Grubanov-Boskovic, S., 2017. Employment protection legislation and mismatch: evidence from a reform. IZA Discussion Paper No. 10904 .
- Berton, F., Dughera, S., Ricci, A., 2022. A simple model of hold-up, union voice and firm investments. Research in Labor Economics, forthcoming .
Paper not yet in RePEc: Add citation now
Bessen, J., Goos, M., Salomons, A., van den Berge, W., 2020. Firm-level automation: evidence from the Netherlands. AEA Papers and Proceedings 110, 389–93.
Bessen, J.E., Goos, M., Salomons, A., Van den Berge, W., 2019. Automatic Reaction - What Happens to Workers at Firms that Automate? Boston Univ. School of Law, Law and Economics Research Paper .
Boeri, T., Garibaldi, P., 2019. A tale of comprehensive labor market reforms: evidence from the Italian jobs act. Labour Economics 59, 33–48.
- Booth, A., 1995. The Economics of Trade Unions. Cambridge University Press.
Paper not yet in RePEc: Add citation now
Bowles, S., 1985. The production process in a competitive economy: Walrasian, neo-Hobbesian, and Marxian models. American Economic Review 75, 16–36.
Bratti, M., Conti, M., Sulis, G., 2021. Employment protection and firm-provided training in dual labour markets. Labour Economics 69, 101972.
Brugarolas, P., Miller, L., 2021. The causal effect of polls on turnout intention: A local randomization regression discontinuity approach. Political Analysis 29, 554–560. doi:10.1017/pan. 2020.50.
- Brynjolfsson, E., McAfee, A., 2014. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York: W. W. Norton & Company.
Paper not yet in RePEc: Add citation now
Brynjolfsson, E., Milgrom, P., 2012. Complementarity in organizations, in: Gibbons, R.S., Roberts, J. (Eds.), The handbook of organizational economics. Princeton: Princeton University Press, pp. 11–55.
Burdin, G., Pérotin, V., 2019. Employee representation and flexible working time. Labour Economics 61, 101755.
Caprettini, B., Voth, H.J., 2020. Rage against the machines: Labor-saving technology and unrest in industrializing england. American Economic Review: Insights 2, 305–20.
Carbonero, F., Ernst, E., Weber, E., 2020. Robots worldwide: The impact of automation on employment and trade. IAB-Discussion Paper No. 7/2020 .
Card, D., Devicienti, F., Maida, A., 2014. Rent-sharing, holdup, and wages: Evidence from matched panel data. Review of Economic Studies 81, 84–111.
Cardullo, G., Conti, M., Sulis, G., 2015. Sunk capital, unions and the hold-up problem: Theory and evidence from cross-country sectoral data. European Economic Review 76, 253–274.
- Cattaneo, M.D., Frandsen, B.R., Titiunik, R., 2015. Randomization inference in the regression discontinuity design: An application to party advantages in the u.s. senate. Journal of Causal Inference 3.
Paper not yet in RePEc: Add citation now
Cattaneo, M.D., Titiunik, R., Vazquez-Bare, G., 2016. Inference in regression discontinuity designs under local randomization. The Stata Journal 16, 331–367.
Cattaneo, M.D., Titiunik, R., Vazquez-Bare, G., 2017. Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality. Journal of Policy Analysis and Management 36, 643–681.
Cheng, H., Jia, R., Li, D., Li, H., 2019. The rise of robots in China. Journal of Economic Perspectives 33, 71–88.
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 No. 2 .
Connolly, R.A., Hirsch, B.T., Hirschey, M., 1986. Union rent seeking, intangible capital, and market value of the firm. Review of Economics and Statistics 68, 567–577.
- Dauth, W., Findeisen, S., Südekum, J., Woessner, N., 2021. The Adjustment of Labor Markets to Robots. Journal of the European Economic Association, 19, 3104—-3153.
Paper not yet in RePEc: Add citation now
Deng, L., Plümpe, V., Stegmaier, J., 2021. Robot adoption at German plants. Technical Report.
Denny, K., Nickell, S., 1991. Unions and investment in British manufacturing industry. British Journal of Industrial Relations 29, 113–121.
Devicienti, F., Naticchioni, P., Ricci, A., 2018. Temporary employment, demand volatility, and unions: firm-level evidence. Industrial and Labor Relations Review 71, 174–207.
- Dixon, J., Hong, B., Wu, L., 2020. The Robot Revolution: Managerial and Employment Consequences for Firms. Unpublished manuscript .
Paper not yet in RePEc: Add citation now
- Duda, H., Fehr, E., 1987. Power, efficiency and profitability: a radical theory of the firm. Economic Analysis 21, 1–26.
Paper not yet in RePEc: Add citation now
Dustmann, C., Schönberg, U., 2009. Training and union wages. The Review of Economics and Statistics 91, 363–376.
- Figures and Tables Figure 1: Robot usage and robot density (IFR 2018) in Manufacturing.
Paper not yet in RePEc: Add citation now
- Firm age 26.640 27.185 0.545 0.630 2412 Business group 0.060 0.069 0.009 0.402 2412 Share of nonstandard contracts 0158 0.160 0.002 0.824 2412 Manufacturing firms 0.430 0.407-0.023 0.260 2412 Share of workers w/tertiary edu. 0.543 0.548 0.004 0.739 2412 Female manager 0.126 0.119-0.007 0.620 2412 Exporting firms 0.277 0.290 0.013 0.489 2412 Share of workers aged 50+ 0.214 0.218 0.004 0.637 2412 Notes: Diff-in-means test statistics for the RDD covariates using the optimal window [-5, 5]. Estimates based on RIL-INAPP panel of Italian firms. Optimal window determined using teh following covariates: firm age, share of nonstandard workers, share of workers with tertiary education, share of workers aged 50+ years old, presence of female manager and dummy variables for exporting firms, manufacturing firms, and firms that are part of a business group. All these variables are measured in 2015. Models are estimated with the Stata software rdrandinf developed by Calonico et al. (2016).
Paper not yet in RePEc: Add citation now
- Ford, M., 2015. Rise of the Robots: Technology and the Threat of a Jobless Future. New York: Basic Books.
Paper not yet in RePEc: Add citation now
Fornino, M., Manera, A., 2021. Automation and the future of work: Assessing the role of labor flexibility. Review of Economic Dynamics .
Freeman, R.B., Lazear, E.P., 1995. An economic analysis of works councils. NBER Working Paper No. 4918.
- Fulton, 2020. National industrial relations, an update. Labour Research Department, ETUI .
Paper not yet in RePEc: Add citation now
- Genz, S., Bellmann, L., Matthes, B., 2019. Do German Works Councils Counter or Foster the Implementation of Digital Technologies? Journal of Economics and Statistics 239, 523–564.
Paper not yet in RePEc: Add citation now
Gihleb, R., Giuntella, O., Stella, L., Wang, T., 2020. Industrial Robots, Workers’ Safety, and Health. IZA Discussion Paper, No. 13672 .
Gintis, H., 1976. The nature of labor exchange and the theory of capitalist production. Review of Radical Political Economics 8, 36–54.
Goldfarb, A., Gans, J., Agrawal, A., 2019. The Economics of Artificial Intelligence: An Agenda. Chicago: University of Chicago Press.
Goos, M., 2014. Explaining job polarization: Routine-biased technological change and offshoring.
Goos, M., 2018. The impact of technological progress on labour markets: policy challenges. Oxford Review of Economic Policy 34, 362–375.
Graetz, G., Michaels, G., 2018. Robots at work. Review of Economics and Statistics 100, 753–768.
Grout, P.A., 1984. Investment and wages in the absence of binding contracts: A Nash bargaining approach. Econometrica 52, 449–460.
- Haenlein, M., Kaplan, A., 2019. A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California management review 61, 5–14.
Paper not yet in RePEc: Add citation now
Hahn, J., Todd, P., Van der Klaauw, W., 2001. Identification and estimation of treatment effects with a regression-discontinuity design. Econometrica 69, 201–209.
- Heery, E., 2004. The trade union response to agency labour in Britain. Industrial Relations Journal 35, 434–450.
Paper not yet in RePEc: Add citation now
Hirsch, B.T., 2004. What do unions do for economic performance? Journal of Labor Research 25, 415–455.
- Hirvonen, J., Stenhammar, A., Tuhkuri, J., 2021. New Evidence on the Effect of Technology on Employment and Skill Demand. Unpublished manuscript .
Paper not yet in RePEc: Add citation now
Hogan, C., 2001. Enforcement of implicit employment contracts through unionization. Journal of Labor Economics 19, 171–195.
Hübler, O., Jirjahn, U., 2003. Works Councils and Collective Bargaining in Germany: The Impact on Productivity and Wages. Scottish Journal of Political Economy 50, 471–491.
Jensen, M.C., Meckling, W.H., 1979. Rights and production functions: An application to labormanaged firms and codetermination. Journal of Business 52, 469–506.
Jirjahn, U., 2017. Works Councils and Collective Bargaining in Germany: A Simple Theoretical Extension to Reconcile Conflicting Empirical Findings. Journal of Institutional and Theoretical Economics (JITE) 173, 322–346.
- Kaufman, B.E., Levine, D.I., 2000. An economic analysis of employee representation., in: Kaufman, B.E., Gottlieb Taras, D. (Eds.), An Economic Analysis of Employee Representation. Nonunion Employee Representation: History, Contemporary Practice, and Policy. Chicago: University of Chicago Press, pp. 149–75.
Paper not yet in RePEc: Add citation now
Koch, M., Manuylov, I., Smolka, M., 2019. Robots and Firms. Economics Working Papers 2019-05. Department of Economics and Business Economics, Aarhus University.
- Kochan, T., Helper, S., Kowalski, A., Van Reenen, J., 2020. Interdependence of Technology and Work Systems. Technical Report.
Paper not yet in RePEc: Add citation now
Kolesár, M., Rothe, C., 2018. Inference in regression discontinuity designs with a discrete running variable. American Economic Review 108, 2277–2304.
Lee, D.S., 2008. Randomized experiments from non-random selection in u.s. house elections. Journal of Econometrics 142, 675 – 697.
Lee, D.S., Card, D., 2008. Regression discontinuity inference with specification error. Journal of Econometrics 142, 655–674.
Lee, D.S., Lemieux, T., 2010. Regression Discontinuity Designs in Economics. Journal of Economic Literature 48, 281–355.
Lindbeck, A., Snower, D.J., 1989. The Insider-Outsider Theory of Employment and Unemployment. Cambridge, MA: MIT Press.
Machin, S., Wadhwani, S., 1991. The effects of unions on investment and innovation: evidence from WIRS. Economic Journal 101, 324–330.
Malcomson, J., 1983. Trade unions and economic efficiency. Economic Journal 93, 51–65.
- Marglin, S.A., 1974. What do bosses do? The origins and functions of hierarchy in capitalist production. Review of Radical Political Economics 6, 60–112.
Paper not yet in RePEc: Add citation now
Martins, P., 2019. The microeconomic impacts of employee representatives: Evidence from membership thresholds. Industrial Relations: A Journal of Economy and Society 58, 591– 622.
- Marx, K., 1967 [1867]. Capital: A critique of political economy, I. The process of capitalist production. New York: International Publishers.
Paper not yet in RePEc: Add citation now
- Marx, K., 1973 [1847]. The Poverty of Philosophy. Progress Publishers.
Paper not yet in RePEc: Add citation now
Moene, K.O., 1988. Union militancy and plant design. Memorandum 18/1988. Oslo University, Department of Economics.
Nordhaus, W.D., 2015. Are we approaching an economic singularity? Information technology and the future of economic growth. NBER Working Paper No. 21547 .
- Notes: Pooled data from the European Company Survey 2019 (selected countries). Sample weights are used. The use of robots refers to establishments using “programmable machines that are capable of carrying out a complex series of actions automatically”. Advanced digital tools refers to establishemnts using “digital tools for analysing data collected at this establishment or from other source” to improve the processes of production or service delivery. Figure 3: Robots and establishment characteristics.
Paper not yet in RePEc: Add citation now
- Notes: Pooled data from the European Company Survey 2019. Robot usage refers to establishments using “programmable machines that are capable of carrying out a complex series of actions automatically”. Robot density is the number of industrial robots per 10000 workers (source: International Federation of Robotics 2018). Figure 2: Robot and other advanced digital tools usage by workplace ER status in selected countries.
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- Notes: Pooled data from the European Company Survey 2019. Sample weights are used. Advanced digital tools refer to establishments using “digital tools for analysing data collected at this establishment or from other source” to improve the processes of production or service delivery. Figure 5: Robots and advanced digital tools by employment change status.
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- Notes: Pooled data from the European Company Survey 2019. Sample weights are used. Robots refer to establishments using “programmable machines that are capable of carrying out a complex series of actions automatically”. Figure 4: Advanced digital tools and establishment characteristics.
Paper not yet in RePEc: Add citation now
Pagano, U., 1991. Property rights, asset specificity, and the division of labour under alternative capitalist relations. Cambridge Journal of Economics 15, 315–342.
- Plant age 28.505 29.143 0.638 0.614 1919 Change in ownership 0.214 0.218 0.004 0.892 1933 Predictable demand 0.067 0.083 0.016 0.208 1902 Very competitive market 0.360 0.384 0.024 0.273 1917 Profit 0.782 0.808 0.026 0.162 1830 Notes: Table reports the diff-in-means test statistics across the cutoff for the RDD covariates. Included covariates: plant age and dummy variables indicating whether the firm made a profit in the previous year, whether there were changes in the ownership structure, and whether the establishment operates in environments characterized by very predictable demand and very competitive markets. Results obtained with the Stata software rdwinselect developed by Calonico et al. (2016).
Paper not yet in RePEc: Add citation now
- Presidente, G., 2020. Institutions, Holdup and Automation. CESifo Working Paper No. 7834 .
Paper not yet in RePEc: Add citation now
Sachs, J.D., Benzell, S.G., LaGarda, G., 2015. Robots: Curse or blessing? A basic framework. NBER Working Paper No. 21091 .
Sachs, J.D., Kotlikoff, L.J., 2012. Smart machines and long-term misery. NBER Working Paper No. 18629 .
Salvatori, A., 2012. Union threat and non-union employment: A natural experiment on the use of temporary employment in British firms. Labour Economics 19, 944–956.
Sestito, P., Viviano, E., 2018. Firing costs and firm hiring: evidence from an Italian reform. Economic Policy 33, 101–130.
- Skillman, G., 1988. Bargaining and replacement in capitalist firms. Review of Radical Political Economics 20, 177–183.
Paper not yet in RePEc: Add citation now
Sulis, G., 2015. Unions and investment in intangible capital. IZA World of Labor .
- Susskind, R.E., Susskind, D., 2015. The Future of the Professions: How Technology Will Transform the Work of Human Experts. Oxford: Oxford University Press.
Paper not yet in RePEc: Add citation now
- van Houten, G., Russo, G., 2020. European Company Survey 2019 - Workplace practices unlocking employee potential. Technical Report.
Paper not yet in RePEc: Add citation now
- Visser, J., 2002. The first part-time economy in the world: a model to be followed? Journal of European Social Policy 12, 23–42.
Paper not yet in RePEc: Add citation now
Wu, L., Hitt, L., Lou, B., 2020. Data analytics, innovation, and firm productivity. Management Science 66, 2017–2039.
Wu, L., Lou, B., Hitt, L., 2019. Data analytics supports decentralized innovation. Management Science 65, 4863–4877.
Zimmermann, L., 2021. The Dynamic Electoral Returns of a Large Antipoverty Program. The Review of Economics and Statistics 103, 803–817.
Zolas, N., Kroff, Z., Brynjolfsson, E., McElheran, K., Beede, D.N., Buffington, C., Goldschlag, N., Foster, L., Dinlersoz, E., 2020. Advanced Technologies Adoption and Use by US Firms: Evidence from the Annual Business Survey. NBER Working Paper No. 28290 .