[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/rco/dpaper/488.html
   My bibliography  Save this paper

Automatability of Occupations, Workers' Labor-market Expectations, and Willingness to Train

Author

Listed:
  • Philipp Lergetporer

    (TU München)

  • Katharina Wedel

    (ifo Institut)

  • Katharina Werner

    (ifo Institut)

Abstract
We study how beliefs about the automatability of workers' occupation affect labor-market expectations and willingness to participate in further training. In our representative online survey, respondents on average underestimate the automation risk of their occupation, especially those in high-automatability occupations. Randomized information about their occupations’ automatability increases respondents’ concerns about their professional future, and expectations about future changes in their work environment. The information also increases willingness to participate in further training, especially among respondents in highly automatable occupation (+five percentage points). This uptick substantially narrows the gap in willingness to train between those in high- and low-automatability occupations.

Suggested Citation

  • Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023. "Automatability of Occupations, Workers' Labor-market Expectations, and Willingness to Train," Rationality and Competition Discussion Paper Series 488, CRC TRR 190 Rationality and Competition.
  • Handle: RePEc:rco:dpaper:488
    as

    Download full text from publisher

    File URL: https://rationality-and-competition.de/wp-content/uploads/discussion_paper/488.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    2. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    3. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    4. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    5. Ilyana Kuziemko & Michael I. Norton & Emmanuel Saez & Stefanie Stantcheva, 2015. "How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments," American Economic Review, American Economic Association, vol. 105(4), pages 1478-1508, April.
    6. Guido Matias Cortes, 2016. "Where Have the Middle-Wage Workers Gone? A Study of Polarization Using Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 63-105.
    7. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    8. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2020. "Digitalisierung und die Zukunft der Arbeit [Digitisation and the Future of Work]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(1), pages 41-47, April.
    9. Cruces, Guillermo & Perez-Truglia, Ricardo & Tetaz, Martin, 2013. "Biased perceptions of income distribution and preferences for redistribution: Evidence from a survey experiment," Journal of Public Economics, Elsevier, vol. 98(C), pages 100-112.
    10. Sara B. Heller & Anuj K. Shah & Jonathan Guryan & Jens Ludwig & Sendhil Mullainathan & Harold A. Pollack, 2017. "Thinking, Fast and Slow? Some Field Experiments to Reduce Crime and Dropout in Chicago," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 1-54.
    11. John A. List & Azeem M. Shaikh & Yang Xu, 2019. "Multiple hypothesis testing in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 773-793, December.
    12. Leonardo Bursztyn, 2016. "Poverty and the Political Economy of Public Education Spending: Evidence from Brazil," Journal of the European Economic Association, European Economic Association, vol. 14(5), pages 1101-1128.
    13. Jeffrey, Karen, 2021. "Automation and the future of work: How rhetoric shapes the response in policy preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 417-433.
    14. Ingar Haaland & Christopher Roth, 2023. "Beliefs about Racial Discrimination and Support for Pro-Black Policies," The Review of Economics and Statistics, MIT Press, vol. 105(1), pages 40-53, January.
    15. David Autor, 2022. "The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty," NBER Working Papers 30074, National Bureau of Economic Research, Inc.
    16. Innocenti, Stefania & Golin, Marta, 2022. "Human capital investment and perceived automation risks: Evidence from 16 countries," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 27-41.
    17. Schmidpeter, Bernhard & Winter-Ebmer, Rudolf, 2021. "Automation, unemployment, and the role of labor market training," European Economic Review, Elsevier, vol. 137(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria A. Cattaneo & Christian Gschwendt & Stefan C. Wolter, 2024. "How Scary is the Risk of Automation? Evidence from a Large Survey Experiment," Economics of Education Working Paper Series 0213, University of Zurich, Department of Business Administration (IBW).
    2. Cattaneo, Maria Alejandra & Gschwendt, Christian & Wolter, Stefan C., 2024. "How Scary Is the Risk of Automation? Evidence from a Large Scale Survey Experiment," IZA Discussion Papers 17097, Institute of Labor Economics (IZA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lasse J. Jessen & Sebastian Koehne & Patrick Nüß & Jens Ruhose, 2024. "Socioeconomic Inequality in Life Expectancy: Perception and Policy Demand," CESifo Working Paper Series 10940, CESifo.
    2. Lergetporer, Philipp & Piopiunik, Marc & Simon, Lisa, 2021. "Does the education level of refugees affect natives’ attitudes?," European Economic Review, Elsevier, vol. 134(C).
    3. Lergetporer, P & Woessmann, L, 2022. "Income Contingency and the Electorates Support for Tuition," CAGE Online Working Paper Series 606, Competitive Advantage in the Global Economy (CAGE).
    4. Lergetporer, Philipp & Woessmann, Ludger, 2023. "Earnings information and public preferences for university tuition: Evidence from representative experiments," Journal of Public Economics, Elsevier, vol. 226(C).
    5. Roth, Christopher & Settele, Sonja & Wohlfart, Johannes, 2022. "Beliefs about public debt and the demand for government spending," Journal of Econometrics, Elsevier, vol. 231(1), pages 165-187.
    6. Grewenig, Elisabeth & Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger, 2020. "Do party positions affect the public's policy preferences? Experimental evidence on support for family policies," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 523-543.
    7. Starkov, Egor, 2023. "Only time will tell: Credible dynamic signaling," Journal of Mathematical Economics, Elsevier, vol. 109(C).
    8. Grewenig, Elisabeth & Lergetporer, Philipp & Werner, Katharina & Woessmann, Ludger, 2019. "Do Party Positions Affect the Public's Policy Preferences?," IZA Discussion Papers 12249, Institute of Labor Economics (IZA).
    9. Hang, Leiming & Lu, Wei & Ge, Xiaowei & Ye, Bin & Zhao, Zhiqi & Cheng, Fangfang, 2024. "R&D innovation, industrial evolution and the labor skill structure in China manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    10. Lisa Simon, 2019. "Microeconometric Analyses on Determinants of Individual Labour Market Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 83.
    11. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    12. Andrea F.M. Martinangeli & Lisa Windsteiger, 2019. "Immigration vs. Poverty: Causal Impact on Demand for Redistribution in a Survey Experiment," Working Papers tax-mpg-rps-2019-13, Max Planck Institute for Tax Law and Public Finance.
    13. Lergetporer, Philipp & Schwerdt, Guido & Werner, Katharina & West, Martin R. & Woessmann, Ludger, 2018. "How information affects support for education spending: Evidence from survey experiments in Germany and the United States," Journal of Public Economics, Elsevier, vol. 167(C), pages 138-157.
    14. Samuel Muehlemann, 2024. "AI Adoption and Workplace Training," Economics of Education Working Paper Series 0232, University of Zurich, Department of Business Administration (IBW).
    15. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.
    16. Keefer, Philip & Scartascini, Carlos & Vlaicu, Razvan, 2022. "Demand-side determinants of public spending allocations: Voter trust, risk and time preferences," Journal of Public Economics, Elsevier, vol. 206(C).
    17. McNamara, Trent & Mosquera, Roberto, 2024. "The political divide: The case of expectations and preferences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
    18. Bellani, Luna & Berriochoa, Kattalina & Kapteina, Mark & Schwerdt, Guido, 2024. "Information Provision and Support for Inheritance Taxation: Evidence from a Representative Survey Experiment in Germany," IZA Discussion Papers 17099, Institute of Labor Economics (IZA).
    19. Simon, Lisa & Piopiunik, Marc & Lergetporer, Philipp, 2017. "Information, perceived education level, and attitudes toward refugees: Evidence from a randomized survey experiment," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168280, Verein für Socialpolitik / German Economic Association.
    20. Juliana Londoño-Vélez, 2022. "The Impact of Diversity on Perceptions of Income Distribution and Preferences for Redistribution," NBER Working Papers 30386, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    automation; further training; labor-market expectations; survey experiment; information;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • I29 - Health, Education, and Welfare - - Education - - - Other
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rco:dpaper:488. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Viviana Lalli (email available below). General contact details of provider: https://rationality-and-competition.de .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.