Rude, Johanna (2024): Demographic Change, Automation and the Role of Education.
Preview |
PDF
MPRA_paper_120876.pdf Download (1MB) | Preview |
Abstract
This paper analyzes the relationship between demographic change and automation while taking the role of education into account. This is illustrated by incorporating skilled and unskilled labor into a theoretical model. If labor supply by households decreases, for example, due to demographic change, the model states that the optimal level of automation capital increases. However, this relationship depends crucially on the level of education in the workforce. Motivated by this novel prediction derived from the model, a new data set allowing for testing of the prediction is constructed. Patent data are combined with an automation classification to arrive at a novel measure of automation. In a series of analyses, evidence for the theoretical prediction is found. While there is a negative relationship between automation capital and population growth, the results corroborate the theoretical prediction that it is crucial to account for the role of education in that relationship. Doing so yields highly significant results which suggest that population growth is negatively correlated with automation, but that this is only true if the workforce consists of predominantly unskilled workers.
Item Type: | MPRA Paper |
---|---|
Original Title: | Demographic Change, Automation and the Role of Education |
Language: | English |
Keywords: | Skill, Education, Automation, Demographic Change |
Subjects: | E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E21 - Consumption ; Saving ; Wealth E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E22 - Investment ; Capital ; Intangible Capital ; Capacity E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E23 - Production E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E24 - Employment ; Unemployment ; Wages ; Intergenerational Income Distribution ; Aggregate Human Capital ; Aggregate Labor Productivity E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E25 - Aggregate Factor Income Distribution J - Labor and Demographic Economics > J1 - Demographic Economics > J11 - Demographic Trends, Macroeconomic Effects, and Forecasts J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J21 - Labor Force and Employment, Size, and Structure J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J31 - Wage Level and Structure ; Wage Differentials O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights |
Item ID: | 120876 |
Depositing User: | Johanna Rude |
Date Deposited: | 16 May 2024 14:14 |
Last Modified: | 16 May 2024 14:14 |
References: | Abeliansky, A. L. and Prettner, K. (2021). Population Growth and Automation Density: Theory and Cross-Country Evidence. Institut für Demographie - VID, pp. 1–40. Acemoglu, D. and Loebbing, J. (2022). Automation and Polarization. Journal of Political Economy, Revise and Resubmit. Acemoglu, D. and Restrepo, P. (2017). Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation. American Economic Review, 107 (5), 174–179. Acemoglu, D. and Restrepo, P (2018). Low-Skill and High-Skill Automation. Journal of Human Capital, 12 (2), 204–232. Acemoglu, D. and Restrepo, P (2020). Unpacking Skill Bias: Automation and New Tasks. AEA Papers and Proceedings, 110, 356–361. Acemoglu, D. and Restrepo, P (2022). Demographics and Automation. The Review of Economic Studies, 89 (1), 1–44. Aghion, P., Howitt, P. and Bursztyn, L. (2009). The Economics of Growth. Cambridge, Mass: MIT Press. Ashraf, Q. H., Lester, A. and Weil, D. N. (2008). When Does Improving Health Raise GDP? NBER Macroeconomics Annual, 23 (1), 157–204. Balakrishnan, R., Dao, M., Solé, J. and Zook, J. (2015). Recent U.S. Labor Force Dynamics: Reversible or Not? Washington, D.C.: International Monetary Fund. Berkes, E., Manysheva, K. and Mestieri, M. (2022). Global Innovation Spillovers and Productivity: Evidence from 100 Years of World Patent Data. Tech. rep., Federal Reserve Bank of Chicago. Bloom, D. E., Canning, D. and Fink, G. (2010). Implications of Population Ageing for Economic Growth. Oxford Review of Economic Policy, 26 (4), 583–612. Brynjolfsson, E. and McAfee, A. P. (2011). Race Against the Machine: How the Digital Revolution Is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy. Digital Frontier Press. Cohen, W. M. and Levinthal, D. A. (1989). Innovation and Learning: The Two Faces of R & D. The Economic Journal, 99 (397), 569–596. Comin, D. and Hobijn, B. (2010). An Exploration of Technology Diffusion. American Economic Review, 100 (5), 2031–2059. Comin, D. and Mestieri, M. (2018). If Technology Has Arrived Everywhere, Why Has Income Diverged? American Economic Journal: Macroeconomics, 10 (3), 137–178. Cruz, E. (2019). Kuznets meets Lucas: Structural Change and Human Capital. Oxford Economic Papers, 71 (4), 848–873. De Vos, I., Everaert, G. and Ruyssen, I. (2015). Bootstrap-based Bias Correction and Inference for Dynamic Panels with Fixed Effects. The Stata Journal: Promoting communications on statistics and Stata, 15 (4), 986–1018. De Vries, G. J., Gentile, E., Miroudot, S. and Wacker, K. M. (2020). The Rise of Robots and the Fall of Routine Jobs. Labour Economics, 66, 101885. Dechezleprêtre, A., Hemous, D., Olsen, M. and Zanella, C. (2019). Automating Labor: Evidence From Firm-Level Patent Data. SSRN Electronic Journal. Frey, C. B. and Osborne, M. A. (2017). The Future of Employment: How Susceptible are Jobs to Computerisation? Technological Forecasting and Social Change, 114, 254–280. Galor, O. (2011). Unified Growth Theory. Princeton, N.J.: Princeton University Press. Graetz, G. and Michaels, G. (2018). Robots at Work. The Review of Economics and Statistics, 100 (5), 753–768. Griffith, R., Redding, S. and Reenen, J. V. (2004). Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries. Review of Economics and Statistics, 86 (4), 883–895. Griliches, Z. (1969). Capital-Skill Complementarity. The Review of Economics and Statistics, 51 (4), 465. Kotschy, R. and Sunde, U. (2018). Can Education Compensate the Effect of Population Ageing on Macroeconomic Performance? Economic Policy, 33 (96), 587–634. Krenz, A., Prettner, K. and Strulik, H. (2021). Robots, Reshoring, and the Lot of Low-Skilled Workers. European Economic Review, 136, 103744. Krusell, P., Ohanian, L. E., Rios-Rull, J.-V. and Violante, G. L. (2000). Capital-skill Complementarity and Inequality: A Macroeconomic Analysis. Econometrica, 68 (5), 1029–1053. Mann, K. and Püttmann, L. (2023). Benign Effects of Automation: New Evidence From Patent Texts. The Review of Economics and Statistics, pp. 1–18. Nedelkoska, L. and Quintini, G. (2018). Automation, Skills Use and Training. OECD Social, Employment and Migration Working Papers 202. Peralta, C. and Gil, P. (2022). Automation, Education, and Population: Dynamic Effects in an OLG Growth and Fertility Model. Preprint, In Review. Porzio, T., Rossi, F. and Santangelo, G. (2022). The Human Side of Structural Transformation. American Economic Review, 112 (8), 2774–2814. Prettner, K. and Bloom, D. E. (2020). Automation and Its Macroeconomic Consequences. London, United Kingdom ; San Diego, CA, United States: Academic Press, and imprint of Elsevier. Prettner, K and Strulik, H. (2020). Innovation, Automation, and Inequality: Policy Challenges in the Race Against the Machine. Journal of Monetary Economics, 116, 249–265. Teixeira, A. A. and Queirós, A. S. (2016). Economic Growth, Human Capital and Structural Change: A Dynamic Panel Data Analysis. Research Policy, 45 (8), 1636–1648. Violante, G. L. (2008). Skill-Biased Technical Change. In Palgrave Macmillan (ed.), The New Palgrave Dictionary of Economics, London: Palgrave Macmillan UK, pp. 1–6. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/120876 |