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Complex-Task Biased Technological Change and the Labor Market

Citations

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Cited by:

  1. Heckman, James J. & Jagelka, Tomáš & Kautz, Tim, 2019. "Some Contributions of Economics to the Study of Personality," IZA Discussion Papers 12753, Institute of Labor Economics (IZA).
  2. Grafström, Jonas, 2025. "The workload paradox: Will AI reduce academic labor?," Ratio Working Papers 385, The Ratio Institute.
  3. Laura S. Zilian & Stella S. Zilian & Georg Jäger, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
  4. Roberto Antonietti & Luca Cattani & Francesca Gambarotto & Giulio Pedrini, 2021. "Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy," Discussion Paper series in Regional Science & Economic Geography 2021-07, Gran Sasso Science Institute, Social Sciences, revised May 2021.
  5. Vaaramo, Mikko & Huikari, Sanna & Ala-Mursula, Leena & Miettunen, Jouko & Korhonen, Marko, 2024. "Temperament traits and economic preferences predict occupational choice beyond human capital variables," Labour Economics, Elsevier, vol. 90(C).
  6. Duygu Buyukyazici & Leonardo Mazzoni & Massimo Riccaboni & Francesco Serti, 2024. "Workplace skills as regional capabilities: relatedness, complexity and industrial diversification of regions," Regional Studies, Taylor & Francis Journals, vol. 58(3), pages 469-489, March.
  7. Florent Bordot & André Lorentz, 2021. "Automation and labor market polarization in an evolutionary model with heterogeneous workers," Working Papers of BETA 2021-39, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  8. García-Peñalosa, Cecilia & Petit, Fabien & van Ypersele, Tanguy, 2023. "Can workers still climb the social ladder as middling jobs become scarce? Evidence from two British cohorts," Labour Economics, Elsevier, vol. 84(C).
  9. Matthias Haslberger, 2022. "Rethinking the measurement of occupational task content," The Economic and Labour Relations Review, , vol. 33(1), pages 178-199, March.
  10. Bachmann, Ronald & Stepanyan, Gayane, 2020. "It's a woman's world? Occupational structure and the rise of female employment in Germany," Ruhr Economic Papers 889, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  11. Jason Deegan & Tom Broekel & Rune Dahl Fitjar, 2021. "Searching through the Haystack:The Relatedness and Complexity of Priorities in Smart Specialization Strategies," Economic Geography, Taylor & Francis Journals, vol. 97(5), pages 497-520, October.
  12. Lu, Chia-Hui, 2025. "Automation and job polarization," Journal of Macroeconomics, Elsevier, vol. 84(C).
  13. David Hope & Julian Limberg & Nina Weber, 2023. "Technological Change, Task Complexity, and Preferences for Redistribution," ifo Working Paper Series 398, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  14. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  15. Lance Lochner & Youngmin Park & Youngki Shin, 2017. "The Evolution of Unobserved Skill Returns in the U.S.: A New Approach Using Panel Data," Staff Working Papers 17-61, Bank of Canada.
  16. Simon, Curtis J., 2025. "Complexity and colocation of the college-educated: Sort of complements," Regional Science and Urban Economics, Elsevier, vol. 113(C).
  17. Daniel Susskind, 2019. "Re-thinking the capabilities of technology in economics," Economics Bulletin, AccessEcon, vol. 39(1), pages 280-288.
  18. Tom Broekel & Rune Dahl Fitjar & Silje Haus-Reve, 2021. "The roles of diversity, complexity, and relatedness in regional development – What does the occupational perspective add?," Papers in Evolutionary Economic Geography (PEEG) 2135, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2021.
  19. Matthias Haslberger, 2021. "Routine-Biased Technological Change Does Not Always Lead to Polarisation: Evidence from 10 OECD Countries, 1995-2013," LIS Working papers 814, LIS Cross-National Data Center in Luxembourg.
  20. Manuel A. Hidalgo-Pérez & Benedetto Molinari, 2022. "The effect of early automation on the wage distribution with endogenous occupational choices," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 1055-1082, October.
  21. María Ladrón de Guevara Rodríguez & Oscar David Marcenaro-Gutierrez & Luis Alejandro Lopez-Agudo, 2023. "On the Gender Gap of Soft-Skills: the Spanish Case," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 167-197, February.
  22. Nicolas A. Roys & Christopher R. Taber, 2019. "Skill Prices, Occupations, and Changes in the Wage Structure for Low Skilled Men," NBER Working Papers 26453, National Bureau of Economic Research, Inc.
  23. Reijnders, Laurie S.M. & de Vries, Gaaitzen J., 2018. "Technology, offshoring and the rise of non-routine jobs," Journal of Development Economics, Elsevier, vol. 135(C), pages 412-432.
  24. Anne Otto & Sebastian Losacker & Hendrik Hansmeier, 2025. "Relatedness, complexity, and regional development paths in Germany: a sequencing approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(2), pages 1-26, June.
  25. Lo Turco, Alessia & Maggioni, Daniela, 2022. "The knowledge and skill content of production complexity," Research Policy, Elsevier, vol. 51(8).
  26. Kolade, Oluwaseun & Owoseni, Adebowale, 2022. "Employment 5.0: The work of the future and the future of work," Technology in Society, Elsevier, vol. 71(C).
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