Corrales‑Herrero, Helena and Rodriguez-Prado, Beatriz (2022): Mapping the Occupations of Recent Graduates. The Role of Academic Background in the Digital Era. Published in: Research in Higher Education No. 65 (20 August 2024): pp. 1853-1882.
![]() |
PDF
MPRA_paper_123226.pdf Download (807kB) |
Abstract
The progressive robotisation and the introduction of artificial intelligence imply economic and social changes. In this paper, we investigate their impact on the occupations of recent Spanish graduates and examine how graduates with different skills can expect their occupations to be transformed by the digital era. To this end –using a three-step approach—we first map occupations in terms of the level of the transformative and destructive effects of digitalization, and determine which groups are most threatened. Second, we characterize the technological occupational groups according to dimensions related to worker and job requirements, such as abilities, skills and tasks performed. Finally, we explore the influence of educational background on the probability of belonging to each group. The analysis relies on three data sources—the main one being microdata from the Survey on Labour Market Insertion of University Graduates (EILU-2019)—which provide exhaustive information about students’ education and training during and after their degree. Results show that only about 15% of graduates hold jobs that have a high probability of being replaced by machines over the next 10–20 years, although a significant number will still face changes in their occupations that will affect skill requirements. Graduates working in these occupations will need a high level of flexibility if they are to adjust to rapid changes and not be displaced. Moreover, certain features of students’ academic background –such as the field of study or more formal education– play a key role and offer some tips to mitigate possible disruptions in graduate employability.
Item Type: | MPRA Paper |
---|---|
Original Title: | Mapping the Occupations of Recent Graduates. The Role of Academic Background in the Digital Era |
English Title: | Mapping the Occupations of Recent Graduates. The Role of Academic Background in the Digital Era |
Language: | English |
Keywords: | Occupations; University graduates; Higher education; Digitalization; Automation |
Subjects: | I - Health, Education, and Welfare > I2 - Education and Research Institutions > I23 - Higher Education ; Research Institutions I - Health, Education, and Welfare > I2 - Education and Research Institutions > I26 - Returns to Education J - Labor and Demographic Economics > J0 - General > J01 - Labor Economics: General |
Item ID: | 123226 |
Depositing User: | Ms Beatriz Rodriguez-Prado |
Date Deposited: | 09 Jan 2025 01:23 |
Last Modified: | 09 Jan 2025 01:23 |
References: | Acemoglu, D. & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings, In Handbook of labor economics, 4:1043-1171, Elsevier. Acemoglu, D., & Restrepo, P. (2018). The race between machine and man: Implications of technology for growth, factor shares and employment. American Economic Review, 108(6), 1488–1542. Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3–30. Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244. Akour, M., & Alenezi, M. (2022). Higher education future in the era of digital transformation. Education Sciences, 12(11), 784. Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis OECD social employment and migration working papers No. 189. OECD Publishing. Arntz, M., Gregory, T., & Zierahn, U. (2017). Revisiting the risk of automation. Economics Letters, 159,157–160. Autor, D., & Dorn, D. (2009). This job is “getting old”: Measuring changes in job opportunities using occupational age structure. American Economic Review, 99(2), 45–51. Autor, D., Levy, F., & Murname, R. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly Journal of Economics, 118(4), 1279–1333. Belchior-Rocha, H., Casquilho-Martins, I., & Simões, E. (2022). Transversal competencies for employability: From higher education to the labour market. Education Sciences, 12(4), 255. Bellas, M. L. (2001). Investment in higher education: Do labor market opportunities differ by age of recent college graduates? Research in Higher Education, 42(1), 1–25. Bolli, T., Caves, K., & Oswald-Egg, M. E. (2021). Valuable experience: How university internships affect graduates’ income. Research in Higher Education, 62(8), 1198–1247. Bonfield, C. A., Salter, M., Longmuir, A., Benson, M., & Adachi, C. (2020). Transformation or evolution?: Education 4.0, teaching and learning in the digital age. Higher Education Pedagogies, 5(1), 223–246. Bosio, G., & Cristini, A. (2018). Is the nature of jobs changing? The role of technological progress and structural change in the labour market. In G. Bosio, T. Minola, F. Origo, & S. Tomelleri (Eds.), Rethinking entrepreneurial human capital. Studies on entrepreneurship, structural change and industrial dynamics. Springer. Bowles, J. (2014). The computerisation of European jobs. Bruegel blog Brunello, G., & Wruuck, P. (2019). Skill Shortages and skill mismatch in Europe: A review of the literature. IZA Institute of Labor Economics. Brynjolfsson, E., Mitchell, T., & Rock, D. (2018). What can machines learn and what does it mean for occupations and the economy? AEA Papers and Proceedings, 108, 43–47. Cedefop. (2015). Skills, qualifications and jobs in the EU: The making of a perfect match? Evidence from Cedefop’s European skills and jobs survey. Publications Office. Cesco, S., Zara, V., De Toni, A. F., Lugli, P., Evans, A., & Orzes, G. (2021). The future challenges of scientific and technical higher education. Tuning Journal for Higher Education, 8(2), 85–117. Croce, G., & Ghignoni, E. (2024). The multifaceted impact of erasmus programme on the school-to-work transition: A matching sensitivity analysis. Research in Higher Education. Di Meglio, G., Barge-Gil, A., Camiña, E., & Moreno, L. (2022). Knocking on employment’s door: Internships and job attainment. Higher Education, 83, 137–161. Domenech, R., García, J. R., Montañez, M., & Neut, A. (2018). Afectados por la revolución digital: El caso de España. Papeles De Economía Española, 156, 128–145. Eurofound. (2008). Recent changes in the jobs structure of the EU. Technical Report. Dublin: Eurofound. European Commission. (2013). Employment and social developments in Europe 2012. Luxembourg: Office for Official Publications of the European Communities. Felten, E. W., Raj, M., & Seamans, R. (2018). A method to link advances in artificial intelligence to occupational abilities. AEA Papers and Proceedings, 108, 54–57. Felten, E. W., Raj, M., & Seamans, R. (2019). The occupational impact of artificial intelligence: Labor, skills, and polarization. NYU Stern School of Business. Fernández Álvaro, C. (2018). Automatización del empleo. Adaptación de las probabilidades de Frey y Osborne para el cálculo. XX Jornadas de Estadística de las Comunidades Autónomas. Fernández-Macías, E. (2012). Job polarisation in Europe? Changes in the employment structure and job quality, 1995–2007. Work and Occupations, 39(2), 157–182. Fossen, F., & Sorgner, A. (2019). Mapping the future of occupations: Transformative and destructive effects of new digital technologies on jobs. Foresight and STI Governance, 13(2), 10–18. Fossen, F., & Sorgner, A. (2022). New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data. Technological Forecasting and Social Change,175, 121-381. Frey, C. B., & Osborne, M. A. (2013). The future of employment: How susceptible are jobs to computerization?Oxford University Paper. Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change. García-Aracil, A. (2008). College major and the gender earnings gap: A multi-country examination of postgraduate labour market outcomes. Research in Higher Education, 49, 733–757. Georgieff, A., & Hyee, R. (2021). Artificial intelligence and employment new cross-country evidence, OECD social employment and migration working papers No. 265. OECD Publishing. Gonzalez Vazquez, I., Milasi, S., Carretero Gomez, S., Napierala, J., Robledo Bottcher, N., Jonkers, K., Goenaga, X. (eds.), The changing nature of work and skills in the digital age, EUR 29823 EN, Publications, Office of the European Union, Luxembourg, 2019. González-Vázquez, I., Milasi, S., Carretero-Gomez, S., Napierala, J., Robledo Bottcher, N., Jonkers, K., et al. (2019a). The changing nature of work and skills in the digital age. EU Science Hub. Goos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-biased technological change and offshoring. American Economic Review, 104(8), 2509–2526. Gouda, H. (2022). Exploring the effects of learning abilities, technology and market changes on the need for future skills. Higher Education, Skills and Work-Based Learning. Handel, M. (2012). Trends in job skill demands in OECD countries OECD social, employment and migration working papers, No. 143. OECD Publishing. Hernández Lahiguera, L., Pérez García, F., & Serrano Martínez, L. (2020). Capital humano, digitalización y crecimiento económico. Papeles De Economía Española, 166, 18–32. INE. (2020). Encuesta de Inserción Laboral de Titulados Universitarios 2019. Metodología. Instituto Nacional de Estadística. Jackson, D., & Bridgstock, R. (2021). What actually works to enhance graduate employability? The relative value of curricular, co-curricular, and extra-curricular learning and paid work. Higher Education, 81(4), 723–739. Jung, J. (2022). Working to learn and learning to work: Research on higher education and the world of work. Higher Education Research & Development, 41(1), 92–106. Kornelakis, A., & Petrakaki, D. (2020). Embedding employability skills in UK higher education: Between digitalization and marketization. Industry and Higher Education, 34(5), 290–297. Lauder, H., & Mayhew, K. (2020). Higher education and the labour market: An introduction. Oxford Review of Education, 46(1), 1–9. Lawrence, M., Roberts, C. & King, L. (2017). Managing automation: Employment, inequality and ethics in the digital age. IPPR Commission on economic justice discussion paper. Lincoln, D., & Kearney, M. L. (2019). Promoting critical thinking in higher education. Studies in Higher Education, 44(5), 799–800. Lladós-Masllorens J. (2019). Surfing the waves of digital automation in Spanish labor market. In: Visvizi A.,Lytras M. (eds) Research & Innovation Forum 2019. RIIFORUM 2019. Springer Proceedings in Complexity. Springer. McGuinness, S., Pouliakas, K., & Redmond, P. (2021). Skills-displacing technological change and its impact on jobs: Challenging technological alarmism? Economics of Innovation and New Technology. Monteiro, S., Almeida, L., & García-Aracil, A. (2021). It’s a very different world: Work transition and employability of higher education graduates. Higher Education, Skills and Work-Based Learning, 11(1), 164–181. Nedelkoska, L., & Quintini, G. (2018). Automation, skills use and training OECD social, employment and migration working papers No. 202. OECD Social: OECD Publishing, Paris. OECD Regional Outlook. (2019). Leveraging megatrends for cities and rural areas. OECD Publishing. Oesch, D., & Rodriguez Menes, J. (2011). Upgrading or polarization? Occupational change in Britain, Germany, Spain and Switzerland, 1990–2008. Socio-Economic Review, 9(3), 503–531. Osmani, M., Weerakkody, V., Hindi, N. M., et al. (2015). Identifying the trends and impact of graduate attributes on employability: A literature review. Tertiary Education Management, 21, 367–379. Pajarinen, M. & Rouvinen, P. (2014). Computerization threatens one third of Finish employment, ETLA Brief No. 22. Pouliakas, K. (2018). Determinants of automation risk in the EU labour market: A skills-needs approach. IZA Discussion Paper No. 11829. Randstad (2021) Flexibility@Work2021: Embracing change. Randstad Salas-Velasco, M. (2021). Mapping the (mis)match of university degrees in the graduate labor market. Journal for Labour Market Research, 55, 14. Scandurra, R., Kelly, D., Fusaro, S., Cefalo, R., & Hermannsson, K. (2023). Do employability programmes in higher education improve skills and labour market outcomes? A systematic review of academic literature. Studies in Higher Education. Spitz-Oener, A. (2006). Technical change, job tasks, and rising educational demands: Looking outside the wage structure. Journal of Labor Economics, 24(2), 235–270. Suleman, F. (2018). The employability skills of higher education graduates: insights into conceptual frameworks and methodological options. Higher Education, 76(2), 263–278. Teichler, U. (2009). Higher education and the world of work. Conceptual frameworks, comparative perspectives, empirical findings. The Netherlands: Sense Publishers. Tomaszewski, W., Perales, F., Xiang, N., & Kubler, M. (2021). Beyond graduation: Socio-economic background and post-university outcomes of Australian graduates. Research in Higher Education, 62, 26–44. Wright, R., Ellis, M., & Townley, M. (2017). The matching of STEM degree holders with STEM occupations in large metropolitan labor markets in the United States. Economic Geography, 93(2), 185–201. Xu, Y. J. (2013). Career outcomes of STEM and Non-STEM college graduates: Persistence in majored-field and influential factors in career choices. Research in Higher Education, 54(3), 349–382. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/123226 |