Technology-driven unemployment: A meta-analysis
| Název práce v češtině: | Technologicky podmíněná nezaměstnanost: Metaanalýza |
|---|---|
| Název v anglickém jazyce: | Technology-driven unemployment: A meta-analysis |
| Klíčová slova: | nezaměstnanost, technologie |
| Klíčová slova anglicky: | unemployment, technology |
| Akademický rok vypsání: | 2021/2022 |
| Typ práce: | bakalářská práce |
| Jazyk práce: | angličtina |
| Ústav: | Institut ekonomických studií (23-IES) |
| Vedoucí / školitel: | Mgr. Petr Polák, M.Sc., Ph.D. |
| Řešitel: | skrytý - zadáno vedoucím/školitelem |
| Datum přihlášení: | 07.09.2022 |
| Datum zadání: | 07.09.2022 |
| Datum a čas obhajoby: | 12.09.2023 09:00 |
| Místo konání obhajoby: | Opletalova, O206, místnost. č. 206 |
| Datum odevzdání elektronické podoby: | 22.07.2023 |
| Datum proběhlé obhajoby: | 12.09.2023 |
| Oponenti: | prof. PhDr. Tomáš Havránek, Ph.D. |
| Seznam odborné literatury |
| Bibliography
Casey, G. (2018). Technology-Driven Unemployment. In 2018 Meeting Papers (No. 302). Society for Economic Dynamics. Feldmann, H. (2013). Technological unemployment in industrial countries. Journal of Evolutionary Economics, 23(5), 1099-1126. Bordot, F. (2022). Artificial intelligence, robots and unemployment: Evidence from OECD countries. Journal of Innovation Economics Management, 37(1), 117-138. Blanchflower, D. G., & Burgess, S. M. (1998). New technology and jobs: comparative evidence from a two country study. Economics of Innovation and New Technology, 5(2-4), 109-138. Postel‐Vinay, F. (2002). The dynamics of technological unemployment. International Economic Review, 43(3), 737-760. Dı́az, M. S., & Tomas, F. J. Q. (2002). Technological innovation and employment: Data from a decade in Spain. International Journal of Production Economics, 75(3), 245-256. Acemoğlu, D and P Restrepo (2019), “Automation and New Tasks: How Technology Displaces and Reinstates Labor”, Journal of Economic Perspectives 33(2): 3–30. Baldwin, R (2019), The globotics upheaval: Globalization, robotics, and the future of work, Oxford University Press. Baldwin, R, J I Haaland, and A J Venables (2021), “Jobs and technology in general equilibrium: A three-elasticities approach”, CEPR Discussion Paper 15739. Bessen, J (2020), “Automation and jobs: when technology boosts employment”, Economic Policy 34(100): 589–626. Blanas, S, G Gancia, and S Y Lee (2019), “Machines and workers: How different technologies affect different workers”, VoxEU.org, 10 October. Brynjolfsson, E and A McAfee (2014), The second machine age: Work, progress, and prosperity in a time of brilliant technologies, WW Norton & Company. Frey, C B and M A Osborne (2017), “The future of employment: How susceptible are jobs to computerisation?”, Technological Forecasting and Social Change 114: 254–280. Hötte, K, M Somers, and A Theodorakopoulos (2022), “Technology and jobs: A systematic literature review”, Oxford Martin Working Paper Series on Technological and Economic Change No. 2022-2. Mokyr, J, C Vickers, and N L Ziebarth (2015), “The history of technological anxiety and the future of economic growth: Is this time different?”, Journal of Economic Perspectives 29(3): 31–50. Gechert Sebastian, Tomas Havranek, Zuzana Irsova, & Dominika Kolcunova (2022), "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias." Review of Economic Dynamics 45, 55-82 |
| Předběžná náplň práce v anglickém jazyce |
| Research question and motivation
The main question I intend to study is whether technological progress creates more jobs than it takes, hence what the net employment effect of technological change is. New technologies may replace human labour, but at the same time, technology can create new jobs, because workers are needed to operate and guide these new technologies. The debate whether and how technological change can create more jobs than it destroys dates back to the 18th century and it has been accompanied by a surge of economic research on interactions between technology, labour, and the economy. Hötte et al. (2022) finds about 130 studies focusing on that topic. Contribution Hötte et al. (2022) made a literature review of available studies and used an overview to show, that the support of the labour replacement effect is more than offset by the number of studies that support the labour-creating/reinstating and real income effects. Next to it, the simple literature review suggests the net impact of technology on labour to be rather positive than negative. The study does not follow up-to-date method for summarizing empirical literature but counts the positive and negative results. We intend to use this study as a starting point and by using meta-analytical techniques make an empirical estimation of net employment effect. This will allow to estimate not only if the effect is positive or negative, but also determine the magnitude of technological change on net employment. Given the review, there are almost 90 studies with such focus, which is more than enough for meta-analysis. Methodology The methodology will follow standard meta-analytical method such as Sebastian et al. (2022). The estimates from the primary research will be collected together with their precision and study design characteristics, dataset properties and other relevant metrics. Regression analysis then explains the heterogeneity of the outcomes of primary studies and also allows for the calculation of effect of the technological change on net employment without bias. Outline Abstract Introduction Literature review and hypothesis Methodology -Relevant description of data -How tests were performed Results -Rejecting/not rejecting hypothesis -Interpretation of results |