The DOI matches its Crossref record; 110 of the 114 references it cites were found in a registry or an index.
Skills, Tasks and Technologies: Implications for Employment and Earnings
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Consequently, computerization has had a disproportionate impact on jobs that involve routine tasks, such as data entry, bookkeeping, and assembly line work, and reducing demand for workers performing”
From Generative AI at Work (2023) · cites this paper as Acemoglu and Autor, 2011
In the citing paper
“Since the 1980s, the U.S. labor market has experienced declines in middle-skill, middle-income jobs in manufacturing and construction as a result of improvements in assembly line automation and the displacement of routine production jobs offshore, among other explanations (Acemoglu and Autor 2011; Autor, Katz, and Kearney 2006; Kalleberg 2009).”
From Beyond the Great Recession: Labor Market Polarization and Ongoing Fertility Decline in the United States (2019) · cites this paper as Acemoglu and Autor 2011
In the citing paper
“Each score is computed as a composite measure of select O*NET 'Importance' scales.”
From GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks (2025) · cites this paper as Acemoglu & Autor (2011)
In the citing paper
“Prior research on computer-based automation posited that routine work was most susceptible to replacement by computers (Autor et al., 2006; Acemoglu and Autor, 2011).”
From Large language models at work in China’s labor market (2025) · cites this paper as Acemoglu and Autor, 2011
In the citing paper
“It is well established that previous waves of automation propelled by advances in information and communication technology were biased in favor of workers with higher skills, replacing lower skill workers and assisting workers with pre-existing complex skill sets (Acemoglu and Autor 2011, Göranzon and Josefson 2012, Buera et al. 2015, Mellacher and Scheuer 2020).”
From Artificial intelligence and work: a critical review of recent research from the social sciences (2024) · cites this paper as Acemoglu and Autor 2011
Citations
Cites
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
Hedonic prices and implicit markets: product differentiation in pure competition
Rosen, S. (1974) · Journal of Political Economy · doi:10.1086/260169 · Cited by 10,603
The Skill Content of Recent Technological Change: An Empirical Exploration
Autor, D. H., Levy, F., & Murnane, R. J. (2003) · The Quarterly Journal of Economics · doi:10.1162/003355303322552801 · Cited by 6,205
Self-citationChanges in Relative Wages, 1963-1987: Supply and Demand Factors
Katz, L. F., & Murphy, K. M. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118323 · Cited by 4,793
Income Inequality in the United States, 1913-1998
Piketty, T., & Saez, E. (2003) · The Quarterly Journal of Economics · doi:10.1162/00335530360535135 · Cited by 3,769
Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach
DiNardo, J., Fortin, N. M., & Lemieux, T. (1996) · Econometrica · doi:10.2307/2171954 · Cited by 2,917
Wage Inequality and the Rise in Returns to Skill
Juhn, C., Murphy, K., & Pierce, B. (1993) · Journal of Political Economy · doi:10.1086/261881 · Cited by 2,794
Trends in U.S. Wage Inequality: Revising the Revisionists
Autor, D., Katz, L. F., & Kearney, M. S. (2008) · The Review of Economics and Statistics · doi:10.1162/rest.90.2.300 · Cited by 2,381
Self-citationLousy and Lovely Jobs: The Rising Polarization of Work in Britain
Goos, M., & Manning, A. (2007) · The Review of Economics and Statistics · doi:10.1162/rest.89.1.118 · Cited by 2,287
Trading Tasks: A Simple Theory of Offshoring
Grossman, G. M., & Rossi-Hansberg, E. (2008) · American Economic Review · doi:10.1257/aer.98.5.1978 · Cited by 2,262
Research works printed but not linked: 7
- Acemoglu, 2002, Technology and the labor market, Journal of Economic Literature, 40, 7, 10.1257/0022051026976 · DOI · Paper page
- Costinot, Arnaud, Vogel, Jonathan, Matching and Inequality in the World Economy. Journal of Political Economy (forthcoming).
- Ikenaga, 2009, Polarization of the Japanese labor market–adoption of ICT and changes in tasks required, Japanese Journal of Labour Studies, 584, 73
- Jensen, J. Bradford, Kletzer, Lori, Measuring tradable services and the task content of offshorable services jobs. In: Katharine Abraham, Mike Harper, James Spletzer (Eds.), Labor in the NewEconomy, University of Chicago Press, Chicago (forthcoming).
- Pierce, Brooks, 2001. Compensation inequality. Quarterly Journal of Economics 116, 1493–1525.Pierce, Brooks, Recent trends in compensation inequality. In: Katharine Abraham, Mike Harper, JamesSpletzer (Eds.), Labor in the New Economy, University of Chicago Press, Chicago forthcoming). · DOI
- Rosen, 1981, The economics of superstars, American Economic Review, 71, 845
- Saint-Paul, 2001, On the distribution of income and workers under intrafirm spillovers with an application to ideas and networks, Journal of Political Economy, 109, 1, 10.1086/318604 · DOI
Cited by
Sorted by citations
Items 801–900 of 1,014
Yan, J., Tu, X., & Zheng, J. (2023) · PLoS ONE · doi:10.1371/journal.pone.0290041 · Cited by 21
Labor market polarization and international macroeconomic dynamics
Mandelman, F. (2016) · Journal of Monetary Economics · doi:10.1016/j.jmoneco.2016.01.004 · Cited by 22
Bar-Haim, E., Chauvel, L., Gornick, J. C., & Hartung, A. (2022) · Social Indicators Research · doi:10.1007/s11205-022-03029-x · Cited by 21
All We Need is Love? Trade-Adjustment, Inequality, and the Role of the Partner
Huber, K., & Winkler, E. (2016) · European Economic Review · doi:10.1016/j.euroecorev.2018.10.003 · Cited by 22
Uncertainty about future income: Initial beliefs and resolution during college
Gong, Y., Stinebrickner, T. R., & Stinebrickner, R. (2019) · Quantitative Economics · doi:10.3982/qe954 · Cited by 21
Becker Meets Ricardo: Multisector Matching with Communication and Cognitive Skills
McCann, R. J., Shi, X., Siow, A., & Wolthoff, R. (2015) · The Journal of Law Economics and Organization · doi:10.1093/jleo/ewv002 · Cited by 21
Catching up to girls: Understanding the gender imbalance in educational attainment within race
Aucejo, E. M., & James, J. (2019) · Journal of Applied Econometrics · doi:10.1002/jae.2699 · Cited by 21
Trade, Skills, and Quality Upgrading: A Theory with Evidence from Colombia
Fieler, A. C., Eslava, M., & Xu, D. Y. (2014) · National Bureau of Economic Research · doi:10.3386/w19992 · Cited by 22
Can productivity still grow in service-based economies?
Sorbe, S., Gál, P., & Millot, V. (2018) · OECD Economics Department working papers · doi:10.1787/4458ec7b-en · Cited by 30
Skill Prices, Occupations, and Changes in the Wage Structure for Low Skilled Men
Roys, N., & Taber, C. R. (2019) · National Bureau of Economic Research · doi:10.3386/w26453 · Cited by 21
Mushrooms and Yeast: The Implications of Technological Progress for Canada's Economic GrowthPreprint
Howitt, P. W. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2657623 · Cited by 21
Stephany, F. (2021) · Big Data & Society · doi:10.1177/20539517211003120 · Cited by 22
Technology and Labor Displacement: Evidence from Linking Patents with Worker-Level DataPreprint
Kogan, L., Papanikolaou, D., Schmidt, L., & Seegmiller, B. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4631010 · Cited by 21
The Gender Pay Gap: Micro Sources and Macro Consequences
Morchio, I., & Moser, C. (2024) · National Bureau of Economic Research · doi:10.3386/w32408 · Cited by 21
Korea Joins the League of Wealthy Nations
Woo, J. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198864424.003.0012 · Cited by 19
Real-time decision support for human–machine interaction in digital railway control rooms
Sobrie, L., & Verschelde, M. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114216 · Cited by 25
Matysiak, A., & Vignoli, D. (2024) · European Journal of Population / Revue européenne de Démographie · doi:10.1007/s10680-024-09701-x · Cited by 26
Dynamics of human-machine task allocation in intelligent production processes: A case study
Zhang, Y., Jiang, H., & Gong, Q. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2024.110354 · Cited by 20
Landeghem, B. V., Dohmen, T., Hole, A. R., & Künn‐Nelen, A. (2024) · Labour Economics · doi:10.1016/j.labeco.2024.102631 · Cited by 20
The spatial structure of labour force employment in China’s industries: Measurement and extraction
Lu, L., Yin, S., Wen, F., & Xu, Q. (2022) · Economic Analysis and Policy · doi:10.1016/j.eap.2022.12.001 · Cited by 20
Dark side of environmental regulation: Wage inequality cost
Liu, Y., Zhang, Y., Yang, Y., & Chen, X. (2022) · Journal of Comparative Economics · doi:10.1016/j.jce.2022.11.004 · Cited by 20
Measuring document similarity with weighted averages of word embeddings
Seegmiller, B., Papanikolaou, D., & Schmidt, L. (2022) · Explorations in Economic History · doi:10.1016/j.eeh.2022.101494 · Cited by 24
Education expansion and high-skill job opportunities for workers: Does a rising tide lift all boats?
Schultheiss, T., Pfister, C., Gnehm, A.-S., & Backes‐Gellner, U. (2023) · Labour Economics · doi:10.1016/j.labeco.2023.102354 · Cited by 20
Environmental Regulation and Labor Demand: What Does the Evidence Tell Us?
Gray, W. B., Shadbegian, R., & Wolverton, A. (2023) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-101422-115834 · Cited by 20
Artificial Intelligence and the Future of Work in the Indonesian Public Sector
Silitonga, F., & Isbah, M. F. (2023) · Jurnal Ilmu Sosial dan Humaniora · doi:10.23887/jish.v12i2.62297 · Cited by 31
Digital Inequality and Household Income Distribution: Evidence from Rural China
Li, G. (2023) · Applied Research in Quality of Life · doi:10.1007/s11482-023-10220-w · Cited by 23
Digital technology, the industrial internet, and cost stickiness
Hui, L., Xie, H., & Chen, X. (2024) · China Journal of Accounting Research · doi:10.1016/j.cjar.2023.100339 · Cited by 20
Rising Top, Falling Bottom: Industries and Rising Wage Inequality
Haltiwanger, J., Hyatt, H. R., & Spletzer, J. R. (2024) · American Economic Review · doi:10.1257/aer.20221574 · Cited by 20
Effects of economic development in China on skill-biased technical change in the US
Chu, A. C., Cozzi, G., & Furukawa, Y. (2014) · Review of Economic Dynamics · doi:10.1016/j.red.2014.04.001 · Cited by 20
Occupational mobility among individuals in entry‐level healthcare jobs in the USA
Snyder, C. R., Dahal, A., & Frogner, B. K. (2018) · Journal of Advanced Nursing · doi:10.1111/jan.13577 · Cited by 20
Avram, A., Gravili, G., Benvenuto, M., & Avram, C. D. (2019) · Sustainability · doi:10.3390/su11102918 · Cited by 20
Trading Up and the Skill Premium
Jaimovich, N., Rebelo, S. T., Wong, A., & Zhang, M. B. (2020) · NBER Macroeconomics Annual · doi:10.1086/707185 · Cited by 20
Job polarization and the declining quality of knowledge workers: Evidence from the UK and Germany
Cavaglia, C., & Etheridge, B. (2020) · Labour Economics · doi:10.1016/j.labeco.2020.101884 · Cited by 20
Snower, D. J., & Bosworth, S. (2020) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2020.101965 · Cited by 26
Labor Market Effects of Trade and FDI – Recent Advances and Research Gaps
Pflüger, M., Blien, U., Möller, J., & Moritz, M. (2013) · Jahrbücher für Nationalökonomie und Statistik · doi:10.1515/jbnst-2013-0107 · Cited by 22
da Silva, J. A. T. (2021) · Publications · doi:10.3390/publications9010006 · Cited by 21
Persistent Misallocation and the Returns to Education in Mexico
Levy, S., & López-Calva, L. F. (2018) · The World Bank Economic Review · doi:10.1093/wber/lhy017 · Cited by 20
Kim, H., Hawley, J. D., Cho, D., Youngsup, H., & Kim, J. (2015) · Human Resource Development International · doi:10.1080/13678868.2015.1122895 · Cited by 20
Arbeitsmarkt 2030 - Wirtschaft und Arbeitsmarkt im digitalen Zeitalter
Kriechel, B., Düll, N., & Vogler-Ludwig, K. (2016) · doi:10.3278/6004556w · Cited by 20
Outsourcing, Occupational Restructuring, and Employee Well‐Being: Is There a Silver Lining?
Böckerman, P., & Maliranta, M. (2013) · Industrial Relations A Journal of Economy and Society · doi:10.1111/irel.12039 · Cited by 20
Employment Polarization and the Role of the Apprenticeship System
Rendall, M., & Weiss, F. (2014) · European Economic Review · doi:10.1016/j.euroecorev.2015.11.004 · Cited by 22
Long-term Patterns of Trade and Specialisation
Johansson, Å., & Olaberría, E. (2014) · OECD Economics Department working papers · doi:10.1787/5jz158tbddbr-en · Cited by 20
No Rage Against the Machines: Threat of Automation Does Not Change Policy PreferencesPreprint
Zhang, B. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3455501 · Cited by 20
Auditor Skill Demands and Audit Quality: Evidence from Job PostingsPreprint
Ham, C., Hann, R. N., Rabier, M., & Wang, W. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3727495 · Cited by 20
Technical and Vocational Education and Training in the Philippines in the Age of Industry 4.0
Bank, A. D. (2021) · doi:10.22617/tcs210084 · Cited by 29
Economics and Measurement: New measures to model decision making
Almås, I., Attanasio, O. P., & Jervis, P. (2023) · National Bureau of Economic Research · doi:10.3386/w30839 · Cited by 20
New Technologies and Jobs in Europe
Stefania Albanesi, Y., da Silva, A. D., Jimeno, J. F., Lamo, A., & Wabitsch, A. (2023) · National Bureau of Economic Research · doi:10.3386/w31357 · Cited by 21
Hosseini Maasoum, S. M., & Lichtinger, G. (2025) · doi:10.2139/ssrn.5425555 · Cited by 31
Introducing the Online Political Influence Efforts dataset
Martin, D. A., Shapiro, J. N., & Ilhardt, J. G. (2023) · Journal of Peace Research · doi:10.1177/00223433221092815 · Cited by 24
Autor, D., & Thompson, N. (2025) · Journal of the European Economic Association · doi:10.1093/jeea/jvaf023 · Cited by 26
Self-citationAll‐around trade liberalization and firm‐level employment: Theory and evidence from China
Rodriguez‐Lopez, A., & Yu, M. (2023) · Review of International Economics · doi:10.1111/roie.12655 · Cited by 19
Wage inequality and the location of cities
Farrokhi, F., & Jinkins, D. C. (2019) · Journal of Urban Economics · doi:10.1016/j.jue.2019.04.004 · Cited by 19
Personality Traits and Further Training
Laible, M., Anger, S., & Baumann, M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.510537 · Cited by 23
The Long-Term Consequences of Free School Choice
Lavy, V. (2021) · Journal of the European Economic Association · doi:10.1093/jeea/jvab001 · Cited by 19
A Short-Run View of What Computers Do: Evidence from a U.K. Tax Incentive
Jel, J., Gaggl, P., & Wright, G. (2015) · Cited by 19
Inflation and the Income Share of the Rich: Evidence for 14 OECD Countries
Herradi, M. E., de Haan, J., & Leroy, A. (2022) · Review of Income and Wealth · doi:10.1111/roiw.12580 · Cited by 21
The information technology revolution and structural labor change: Evidence from China
Li, X., Wang, X., & Xu, W. (2022) · Economic Modelling · doi:10.1016/j.econmod.2022.105956 · Cited by 21
Wanasinghe, T. R., Gosine, R. G., Petersen, B. K., & Warrian, P. J. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3238971 · Cited by 25
Hard and Soft Skills in Vocational Training: Experimental Evidence from Colombia
Barrera‐Osorio, F., Kugler, A. D., & Silliman, M. (2020) · The World Bank Economic Review · doi:10.1093/wber/lhad007 · Cited by 43
Connecting higher education to workplace activities and earnings
Chau, H., Bana, S., Bouvier, B., & Frank, M. R. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282323 · Cited by 19
Internal capital markets and employee wage: Evidence from China
Tan, W., Li, X. R., Zhao, J., Lin, C., & Wang, H. (2023) · International Review of Financial Analysis · doi:10.1016/j.irfa.2023.102680 · Cited by 19
Huo, Q.-Q., Ruan, J., & Cui, Y. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1337264 · Cited by 27
Employment transitions and the cycle of income inequality in postindustrial societies
Kwon, R. (2014) · International Journal of Comparative Sociology · doi:10.1177/0020715214561133 · Cited by 19
Foreign acquisition and internal organization
Bastos, P., Monteiro, N. P., & Straume, O. R. (2018) · Journal of International Economics · doi:10.1016/j.jinteco.2018.06.003 · Cited by 19
Permanent Jobs, Employment Protection, and Job Content
Kahn, L. M. (2018) · Industrial Relations A Journal of Economy and Society · doi:10.1111/irel.12209 · Cited by 19
On the Educational Curriculum in Finance and Technology
Kärkkäinen, T., Panos, G. A., Broby, D., & Bracciali, A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-77547-0_1 · Cited by 19
Global Value Chains and Wages: Multi-Country Evidence from Linked Worker-Industry Data
Parteka, A., & Wolszczak‐Derlacz, J. (2018) · Open Economies Review · doi:10.1007/s11079-018-9518-8 · Cited by 19
The Rise of Programming and the Stalled Gender Revolution
Cheng, S., Chauhan, B., & Chintala, S. (2019) · Sociological Science · doi:10.15195/v6.a13 · Cited by 19
Perego, V. M. E., Morris, M. L., & Sebastian, A. R. (2020) · World Bank, Washington, DC eBooks · doi:10.1596/34812 · Cited by 28
A longer way in: Tryouts as alternative hiring arrangements in organizations
Sterling, A. D., & Merluzzi, J. M. (2019) · Research in Organizational Behavior · doi:10.1016/j.riob.2020.100122 · Cited by 21
Technical Change and Superstar Effects: Evidence from the Rollout of Television
Koenig, F. (2023) · American Economic Review Insights · doi:10.1257/aeri.20210539 · Cited by 19
Pandemic Containment and Inequality in a Developing Economy
Dasgupta, K., & Murali, S. (2020) · Economic Inquiry · doi:10.1111/ecin.13190 · Cited by 18
A simple model of globalization, schooling and skill acquisition
Davidson, C., & Sly, N. (2014) · European Economic Review · doi:10.1016/j.euroecorev.2014.08.002 · Cited by 19
What Does Human Capital Do? A Review of Goldin and Katz’s The Race between Education and TechnologyPreprint
Acemoğlu, D., & Autor, D. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.1987249 · Cited by 19
Self-citationGlobal Trade and Specialisation Patterns Over the Next 50 Years
Johansson, Å., & Olaberría, E. (2014) · OECD economic policy papers · doi:10.1787/5jz18gpwfxq4-en · Cited by 19
U.S. Inequality and Fiscal Progressivity: An Intragenerational Accounting
Auerbach, A. J., Kotlikoff, L. J., & Koehler, D. (2016) · National Bureau of Economic Research · doi:10.3386/w22032 · Cited by 17
Digitization and Automation: Firm Investment and Labor OutcomesPreprint
Zator, M. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3444966 · Cited by 19
Occupational Choice and the Intergenerational Mobility of Welfare
Boar, C., & Danial Lashkari, A. (2021) · National Bureau of Economic Research · doi:10.3386/w29381 · Cited by 18
Falck, O., Heimisch, A., & Wiederhold, S. (2016) · OECD education working papers · doi:10.1787/5jlzfl2p5rzq-en · Cited by 27
Wage Shocks and the Technological Substitution of Low-Wage Jobs
Aaronson, D. M., & Phelan, B. J. (2016) · doi:10.17848/wp17-266 · Cited by 18
2. From Fiscal Consolidation to the Plan de relance
Plane, M., & Saraceno, F. (2021) · Open reports series · doi:10.11647/obp.0280.02 · Cited by 18
Grant, R., & Üngör, M. (2024) · Scottish Journal of Political Economy · doi:10.1111/sjpe.12395 · Cited by 21
Who's afraid of automation? Examining determinants of fear of automation in six European countries
Włoch, R., Śledziewska, K., & Rożynek, S. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102782 · Cited by 26
Artificial intelligence adoption and workplace training
Muehlemann, S. (2025) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2025.107206 · Cited by 40
The Impact of Artificial Intelligence on Labor Market Income Inequality
Gu, Y., & Wang, Y. (2025) · International Journal of Advanced Science · doi:10.70731/28ahd093 · Cited by 18
Impact of ICT Adoption on Inequality
Patria, H., & Erumban, A. A. (2020) · The Journal of Indonesia Sustainable Development Planning · doi:10.46456/jisdep.v1i2.58 · Cited by 18
What to do when the robots come? Non-formal education in jobs affected by automation
Koster, S., & Brunori, C. (2021) · International Journal of Manpower · doi:10.1108/ijm-06-2020-0314 · Cited by 17
Educational mismatch and income inequality
Tang, R., & Wang, G. (2021) · Economic Modelling · doi:10.1016/j.econmod.2021.105525 · Cited by 18
Pathways to Middle-Class Jobs in Indonesia
Wihardja, M. M., & Cunningham, W. (2021) · World Bank, Washington, DC eBooks · doi:10.1596/35848 · Cited by 18
1. Public Investment in the Pandemic—Europe at a Glance
Brasili, A., Kolev, A., Revoltella, D., & Schanz, J. (2021) · Open reports series · doi:10.11647/obp.0280.01 · Cited by 18
Beerli, A., Indergand, R., & Kunz, J. (2022) · Journal of Population Economics · doi:10.1007/s00148-022-00892-3 · Cited by 18
Transitioning to a Greener Labor Market: Cross-Country Evidence from Microdata
Bluedorn, J., Hansen, N., Noureldin, D., Shibata, I., & Tavares, M. M. (2022) · IMF Working Paper · doi:10.5089/9798400215568.001 · Cited by 18
Worth Less? Exploring the Effects of Subminimum Wages on Poverty among U.S. Hourly Workers
Maroto, M. L., & Pettinicchio, D. (2022) · Sociological Perspectives · doi:10.1177/07311214221124630 · Cited by 18
Labor market tightness and individual wage growth: evidence from Germany
Brunow, S., Lösch, S., & Okhrin, O. (2022) · Journal for Labour Market Research · doi:10.1186/s12651-022-00322-7 · Cited by 20
Müller, T., Schuberth, F., Bergsiek, M., & Henseler, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.987530 · Cited by 27
Koukouvinou, P., Simbi, N., & Holmström, J. (2022) · Information Technology and People · doi:10.1108/itp-03-2020-0106 · Cited by 18
Skills requirements across task-content groups in Poland: What online job offers tell us
Arendt, Ł., Gałecka‐Burdziak, E., Núñez, F., Pater, R., & Usabiaga, C. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122245 · Cited by 20
Mason, C., Chen, H., EVANS, D. B., & Walker, G. (2023) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-05-2022-0106 · Cited by 20
Impacts on manufacturing workers as part of a whole-system energy transition
Ciez, R. E. (2023) · Frontiers in Sustainable Energy Policy · doi:10.3389/fsuep.2023.1204176 · Cited by 18
Labor-saving innovations and capital structure
Qiu, J., Wan, C., & Wang, Y. (2023) · Journal of Corporate Finance · doi:10.1016/j.jcorpfin.2023.102510 · Cited by 18
Metadata
- Authors
- Acemoglu, D., & Autor, D.
- Affiliations
- National Bureau of Economic Research (US)
- ORCID
- Autor, David
- Venue
- Handbook of Labor Economics
- Publisher
- Elsevier
- Published
- 2011
- Pages
- 1043-1171
- ISSN
- 1573-4463 (ISSN-L)
- OpenAlex
- W3124124240
- Cited by
- 3,799
- References
- 114
- Citations by year
- 2026: 371 · 2025: 432 · 2024: 462 · 2023: 401 · 2022: 391 · 2021: 368 · 2020: 289 · 2019: 228 · 2018: 242 · 2017: 168 · 2016: 132 · 2015: 94 · 2014: 86 · 2013: 46 · 2012: 53
- FWCI
- 303.39
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Handbook of labour economics (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Keywords
- returns to skills, wage inequality, skill-biased technological change, job polarization, offshoring, task-based model, skill substitution, wage distribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
