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Are Robots Taking Our Jobs?

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  • Jeff Borland
  • Michael Coelli

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  • Jeff Borland & Michael Coelli, 2017. "Are Robots Taking Our Jobs?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(4), pages 377-397, December.
  • Handle: RePEc:bla:ausecr:v:50:y:2017:i:4:p:377-397
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    File URL: http://hdl.handle.net/10.1111/1467-8462.12245
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    References listed on IDEAS

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    1. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    2. Autor, David H., 2013. "The "task approach" to labor markets : an overview," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(3), pages 185-199.
    3. Paul Gaggl & Greg C. Wright, 2017. "A Short-Run View of What Computers Do: Evidence from a UK Tax Incentive," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 262-294, July.
    4. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    5. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    6. Nordhaus, William D., 2007. "Two Centuries of Productivity Growth in Computing," The Journal of Economic History, Cambridge University Press, vol. 67(1), pages 128-159, March.
    7. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    8. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    9. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    10. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    11. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
    12. Michael Coelli & Jeff Borland, 2016. "Job Polarisation and Earnings Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 92(296), pages 1-27, March.
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    Cited by:

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    2. Aniruddh Mohan & Parth Vaishnav, 2022. "Impact of automation on long haul trucking operator-hours in the United States," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    3. Minrui Huang & Zhe (Jasmine) Jiang, 2024. "Job Routinisation and Labour Market Inequality in Australia," Working Papers 2024-18, University of Sydney, School of Economics.
    4. Wang, Bo & Wang, Jianda & Dong, Kangyin & Nepal, Rabindra, 2024. "How does artificial intelligence affect high-quality energy development? Achieving a clean energy transition society," Energy Policy, Elsevier, vol. 186(C).
    5. Bronwyn McCredie & Kerrie Sadiq & Larelle Chapple, 2019. "Navigating the fourth industrial revolution: Taxing automation for fiscal sustainability," Australian Journal of Management, Australian School of Business, vol. 44(4), pages 648-664, November.
    6. Alfred M. Dockery & John Phillimore & Sherry Bawa, 2021. "Changing demand for STEM skills in Australia and gender implications," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 24(1), pages 71-110.
    7. Phil Lewis & Anne Daly, 2020. "The Proposed Job-ready Graduate Package: a misguided arrow missing its target," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 23(2), pages 231-251.
    8. Mingyue Chen & Shuting Wang & Xiaowen Wang, 2024. "How Does Artificial Intelligence Impact Green Development? Evidence from China," Sustainability, MDPI, vol. 16(3), pages 1-23, February.
    9. Marco Capasso & Michael Spjelkavik Mark, 2021. "The Evolving Economic Employment of ICT Education: The Case of Norway," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    10. Lordan, Grace & Stringer, Eliza-Jane, 2022. "People versus machines: The impact of being in an automatable job on Australian worker’s mental health and life satisfaction," Economics & Human Biology, Elsevier, vol. 46(C).
    11. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    12. Jeff Borland & Michael Coelli, 2023. "The Australian labour market and IT-enabled technological change," Melbourne Institute Working Paper Series wp2023n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    13. Rongjie Lv & Hao Gao, 2023. "Effects of smart city construction on employment: mechanism and evidence from China," Empirical Economics, Springer, vol. 65(5), pages 2393-2425, November.
    14. Yuxin Fang & Hongjun Cao & Jihui Sun, 2022. "Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect," IJERPH, MDPI, vol. 19(22), pages 1-27, November.
    15. Kerstin Hotte & Melline Somers & Angelos Theodorakopoulos, 2022. "Technology and jobs: A systematic literature review," Papers 2204.01296, arXiv.org.
    16. Jie Zhou, 2024. "The Impact of the Digital Economy on Employment Scale in the Yangtze River Delta Region," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(5), pages 1-5.
    17. Piyachart Phiromswad & Sabin Srivannaboon & Pattarake Sarajoti, 2022. "The interaction effects of automation and population aging on labor market," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-16, February.
    18. Yang Shen & Xiuwu Zhang, 2024. "The impact of artificial intelligence on employment: the role of virtual agglomeration," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    19. Pelin Ozgul & Marie-Christine Fregin & Michael Stops & Simon Janssen & Mark Levels, 2024. "High-skilled Human Workers in Non-Routine Jobs are Susceptible to AI Automation but Wage Benefits Differ between Occupations," Papers 2404.06472, arXiv.org.
    20. Sun, Zhe & Zhao, Liang & Kaur, Puneet & Islam, Nazrul & Dhir, Amandeep, 2023. "Theorizing the relationship between the digital economy and firm productivity: The idiosyncrasies of firm-specific contexts," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    21. Nygaard, Christian & Parkinson, Sharon & reynolds, margaret, 2021. "Agglomeration effects and housing market dynamics," SocArXiv k9tcx, Center for Open Science.
    22. Lee, Chien-Chiang & Yan, Jingyang & Wang, Fuhao, 2024. "Impact of population aging on food security in the context of artificial intelligence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).

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