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AI and Jobs: Evidence from Online Vacancies
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Cited by:
- Cho, Jaehan & DeStefano, Timothy & Kim, Hanhin & Kim, Inchul & Paik, Jin Hyun, 2023. "What's driving the diffusion of next-generation digital technologies?," Technovation, Elsevier, vol. 119(C).
- Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
- Francesco Trebbi & Miao Ben Zhang, 2022.
"The Cost of Regulatory Compliance in the United States,"
NBER Working Papers
30691, National Bureau of Economic Research, Inc.
- Francesco Trebbi & Miao Ben Zhang & Michael Simkovic, 2023. "The Cost of Regulatory Compliance in the United States," CESifo Working Paper Series 10589, CESifo.
- Trebbi, Francesco & Zhang, Miao Ben, 2023. "The Cost of Regulatory Compliance in the United States," CEPR Discussion Papers 17814, C.E.P.R. Discussion Papers.
- Nicolaj S{o}ndergaard Muhlbach, 2021. "occ2vec: A principal approach to representing occupations using natural language processing," Papers 2111.02528, arXiv.org, revised Jul 2022.
- Benjamin Meindl & Morgan R. Frank & Joana Mendonc{c}a, 2021. "Exposure of occupations to technologies of the fourth industrial revolution," Papers 2110.13317, arXiv.org.
- Eiji Yamamura & Ryohei Hayashi, 2022. "AI, Ageing and Brain-Work Productivity: Technological Change in Professional Japanese Chess," Papers 2204.07888, arXiv.org.
- Saussay, Aurélien & Sato, Misato & Vona, Francesco & O’Kane, Layla, 2022.
"Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job and data,"
FEEM Working Papers
329079, Fondazione Eni Enrico Mattei (FEEM).
- Saussay, Aurelien & Sato, Misato & Vona, Francesco & O’Kane, Layla, 2022. "Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data," LSE Research Online Documents on Economics 117254, London School of Economics and Political Science, LSE Library.
- Saussay, Aurelien & Sato, Misato & Vona, Francesco & O’Kane, Layla, 2022. "Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data," LSE Research Online Documents on Economics 117253, London School of Economics and Political Science, LSE Library.
- Aurélien Saussay & Misato Sato & Francesco Vona & Layla O’Kane, 2022. "Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job and data," Working Papers 2022.31, Fondazione Eni Enrico Mattei.
- Frank W. Geels & Jonatan Pinkse & Dimitri Zenghelis, 2021. "Productivity opportunities and risks in a transformative,low-carbon and digital age," Working Papers 009, The Productivity Institute.
- Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
- Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
- Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023.
"Artificial intelligence and firm-level productivity,"
Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
- Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2022. "Artificial intelligence and firm-level productivity," ZEW Discussion Papers 22-005, ZEW - Leibniz Centre for European Economic Research.
- Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022. "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven 690486, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Zarifhonarvar, Ali, 2023. "Economics of ChatGPT: A Labor Market View on the Occupational Impact of Artificial Intelligence," EconStor Preprints 268826, ZBW - Leibniz Information Centre for Economics.
- Andrea Borsato & André Lorentz, 2023.
"Data production and the coevolving AI trajectories: an attempted evolutionary model,"
Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
- Andrea Borsato & Andre Lorentz, 2022. "Data Production and the coevolving AI trajectories: An attempted evolutionary model," Working Papers of BETA 2022-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Post-Print hal-04401798, HAL.
- repec:eur:ejesjr:364 is not listed on IDEAS
- Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
- repec:eur:ejesjr:361 is not listed on IDEAS
- Benjamin Lerch, 2021. "From Blue to Steel-Collar Jobs: The Decline in Employment Gaps?," IdEP Economic Papers 2102, USI Università della Svizzera italiana.
- Chuan, Amanda & Zhang, Weilong, 2023. "Non-college Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," IZA Discussion Papers 16089, Institute of Labor Economics (IZA).
- Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
- Kerstin Hotte & Taheya Tarannum & Vilhelm Verendel & Lauren Bennett, 2022. "Measuring artificial intelligence: a systematic assessment and implications for governance," Papers 2204.10304, arXiv.org, revised Dec 2024.
- Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
- Rude, Britta & Giesing, Yvonne, 2022. "Technological Change and Immigration - A Race for Talent or of Displaced Workers," VfS Annual Conference 2022 (Basel): Big Data in Economics 264093, Verein für Socialpolitik / German Economic Association.
- 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.
- A. O. Aver’yanov & I. S. Stepus’ & V. A. Gurtov, 2023. "Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia," Studies on Russian Economic Development, Springer, vol. 34(1), pages 86-95, February.
- Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Carbonero, Francesco & Scicchitano, Sergio, 2021. "Labour and technology at the time of Covid-19. Can artificial intelligence mitigate the need for proximity?," GLO Discussion Paper Series 765, Global Labor Organization (GLO).
- Borsato, Andrea & Lorentz, André, 2023.
"The Kaldor–Verdoorn law at the age of robots and AI,"
Research Policy, Elsevier, vol. 52(10).
- Andrea Borsato & Andre Lorentz, 2022. "The Kaldor-Verdoorn Law’s at the Age of Robots and AI," Working Papers of BETA 2022-25, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Andrea Borsato & Andre Lorentz, 2023. "The Kaldor-Verdoorn Law at the Age of Robots and AI," Working Papers of BETA 2023-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Andrea Borsato & André Lorentz, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Post-Print hal-04401797, HAL.
- Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
- Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
- Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).
- Yvonne Giesing, 2023. "The Impact of Technological Change on Immigration and Immigrants," CESifo Working Paper Series 10876, CESifo.
- Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
- Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
- Chuan, A. & Zhang, W., 2021. "Non-College Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," Cambridge Working Papers in Economics 2177, Faculty of Economics, University of Cambridge.
- Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.