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Lindsey Rebecca Raymond

Personal Details

First Name:Lindsey
Middle Name:Rebecca
Last Name:Raymond
Suffix:
RePEc Short-ID:pra1202
[This author has chosen not to make the email address public]
http://sites.google.com/view/lindsey-raymond
Terminal Degree: World Economy Laboratory; Economics Department; Massachusetts Institute of Technology (MIT) (from RePEc Genealogy)

Affiliation

Sloan School of Management
Massachusetts Institute of Technology (MIT)

Cambridge, Massachusetts (United States)
http://mitsloan.mit.edu/
RePEc:edi:ssmitus (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Danielle Li & Lindsey Raymond & Peter Bergman, 2024. "Hiring as Exploration," Papers 2411.03616, arXiv.org.
  2. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2023. "Generative AI at Work," Papers 2304.11771, arXiv.org, revised Nov 2024.
  3. Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020. "Hiring as Exploration," NBER Working Papers 27736, National Bureau of Economic Research, Inc.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2023. "Generative AI at Work," Papers 2304.11771, arXiv.org, revised Nov 2024.

    Cited by:

    1. Nwaobi, Godwin, 2024. "Nigerian Firms and Digital Transformation:Incubations, Unipoding and Prospects," MPRA Paper 121833, University Library of Munich, Germany.
    2. Suleymenova, Kamilya & Dawood, Mary & Psyllou, Maria, 2024. "Essays in economics in ICU: Resuscitate or pull the plug?," International Review of Economics Education, Elsevier, vol. 45(C).
    3. Aldasoro, Inaki & Gambacorta, Leonardo & Korinek, Anton & Shreeti, Vatsala & Stein, Merlin, 2024. "Intelligent financial system: how AI is transforming finance," CEPR Discussion Papers 19181, C.E.P.R. Discussion Papers.
    4. Samuel Chang & Andrew Kennedy & Aaron Leonard & John A. List, 2024. "12 Best Practices for Leveraging Generative AI in Experimental Research," NBER Working Papers 33025, National Bureau of Economic Research, Inc.
    5. Raphael Auer & David Köpfer & Josef Švéda & Raphael A. Auer, 2024. "The Rise of Generative AI: Modelling Exposure, Substitution, and Inequality Effects on the US Labour Market," CESifo Working Paper Series 11410, CESifo.
    6. MORIKAWA Masayuki, 2024. "Use of Artificial Intelligence and Productivity: Evidence from firm and worker surveys," Discussion papers 24074, Research Institute of Economy, Trade and Industry (RIETI).
    7. Spencer Bastani & Daniel Waldenström, 2024. "AI, Automation and Taxation," CESifo Working Paper Series 11084, CESifo.
    8. Lilia Patrignani, 2024. "Understanding digital trade," Questioni di Economia e Finanza (Occasional Papers) 841, Bank of Italy, Economic Research and International Relations Area.
    9. Bohren, Noah & Hakimov, Rustamdjan & Lalive, Rafael, 2024. "Creative and Strategic Capabilities of Generative AI: Evidence from Large-Scale Experiments," IZA Discussion Papers 17302, Institute of Labor Economics (IZA).
    10. Walkowiak, Emmanuelle, 2023. "Task-interdependencies between Generative AI and Workers," Economics Letters, Elsevier, vol. 231(C).
    11. Carvajal, Daniel & Franco, Catalina & Isaksson, Siri, 2024. "Will Artificial Intelligence Get in the Way of Achieving Gender Equality?," Discussion Paper Series in Economics 3/2024, Norwegian School of Economics, Department of Economics, revised 31 Oct 2024.
    12. Morgan Blangeois, 2023. "Generative AI: Revolution or Threat for Digital Service Companies ? [IA générative : révolution ou menace pour les entreprises de services du numérique ?]," Post-Print hal-04355219, HAL.
    13. James Bono & Alec Xu, 2024. "Randomized Controlled Trials for Security Copilot for IT Administrators," Papers 2411.01067, arXiv.org, revised Nov 2024.
    14. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
    15. Daniel Goller & Christian Gschwendt & Stefan C. Wolter, 2023. ""This time it's different" Generative Artificial Intelligence and Occupational Choice," Economics of Education Working Paper Series 0209, University of Zurich, Department of Business Administration (IBW).
    16. Audrin, Bertrand & Audrin, Catherine & Salamin, Xavier, 2024. "Digital skills at work – Conceptual development and empirical validation of a measurement scale," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    17. Eaman Jahani & Benjamin S. Manning & Joe Zhang & Hong-Yi TuYe & Mohammed Alsobay & Christos Nicolaides & Siddharth Suri & David Holtz, 2024. "As Generative Models Improve, People Adapt Their Prompts," Papers 2407.14333, arXiv.org, revised Aug 2024.
    18. Iñaki Aldasoro & Olivier Armantier & Sebastian Doerr & Leonardo Gambacorta & Tommaso Oliviero, 2024. "The gen AI gender gap," BIS Working Papers 1197, Bank for International Settlements.
    19. Jason P Davis & Jian Bai Li, 2024. "Early Adoption of Generative AI by Global Business Leaders: Insights from an INSEAD Alumni Survey," Papers 2404.04543, arXiv.org.
    20. Bastani, Spencer & Waldenström, Daniel, 2024. "AI, Automation and Taxation," IZA Policy Papers 212, Institute of Labor Economics (IZA).
    21. Stankov, Petar, 2024. "The death of exams? Grade inflation and student satisfaction when coursework replaces exams," International Review of Economics Education, Elsevier, vol. 46(C).
    22. Elias Bouacida & Renaud Foucart & Maya Jalloul, 2024. "Decreasing Differences in Expert Advice," Working Papers 408394204, Lancaster University Management School, Economics Department.
    23. Myriam Raymond & Aymeric Hemon & Frantz Rowe, 2024. "Ease of use and facilitating conditions in the context of technology promises: Lessons from experiments with code- and text-generating AI tools in a professional context [La facilité d'usage et les," Post-Print hal-04634708, HAL.
    24. Alexander Cuntz & Carsten Fink & Hansueli Stamm, 2024. "Artificial Intelligence and Intellectual Property : An Economic Perspective," WIPO Economic Research Working Papers 77, World Intellectual Property Organization - Economics and Statistics Division.
    25. Amali Matharaarachchi & Wishmitha Mendis & Kanishka Randunu & Daswin De Silva & Gihan Gamage & Harsha Moraliyage & Nishan Mills & Andrew Jennings, 2024. "Optimizing Generative AI Chatbots for Net-Zero Emissions Energy Internet-of-Things Infrastructure," Energies, MDPI, vol. 17(8), pages 1-19, April.
    26. Christian Peukert & Florian Abeillon & Jérémie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," CESifo Working Paper Series 11099, CESifo.
    27. Ozge Demirci & Jonas Hannane & Xinrong Zhu, 2024. "Who Is AI Replacing? The Impact of Generative AI on Online Freelancing Platforms," CESifo Working Paper Series 11276, CESifo.
    28. Qin Chen & Jinfeng Ge & Huaqing Xie & Xingcheng Xu & Yanqing Yang, 2023. "Large Language Models at Work in China's Labor Market," Papers 2308.08776, arXiv.org.
    29. Rosa-García, Alfonso, 2024. "Student Reactions to AI-Replicant Professor in an Econ101 Teaching Video," MPRA Paper 120135, University Library of Munich, Germany.
    30. Leonardo Gambacorta & Han Qiu & Shuo Shan & Daniel M Rees, 2024. "Generative AI and labour productivity: a field experiment on coding," BIS Working Papers 1208, Bank for International Settlements.
    31. Freund, L. B., 2022. "Superstar Teams: The Micro Origins and Macro Implications of Coworker Complementarities," Cambridge Working Papers in Economics 2276, Faculty of Economics, University of Cambridge.
    32. Becker, Dominik & Deck, Luca & Feulner, Simon & Gutheil, Niklas & Schüll, Moritz & Decker, Stefan & Eymann, Torsten & Gimpel, Henner & Pippow, Andreas & Röglinger, Maximilian & Urbach, Nils, 2024. "Lohnt sich Microsoft 365 Copilot? Eine Potenzialanalyse für Unternehmen und Bildungseinrichtungen," Bayreuth Reports on Information Systems Management 72, University of Bayreuth, Chair of Information Systems Management.
    33. Fosso Wamba, Samuel & Queiroz, Maciel M. & Chiappetta Jabbour, Charbel Jose & Shi, Chunming (Victor), 2023. "Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?," International Journal of Production Economics, Elsevier, vol. 265(C).
    34. Gaétan de Rassenfosse & Adam Jaffe & Joal Waldfogel, 2024. "Intellectual Property and Creative Machines," Working Papers 27, Chair of Science, Technology, and Innovation Policy.

  2. Danielle Li & Lindsey R. Raymond & Peter Bergman, 2020. "Hiring as Exploration," NBER Working Papers 27736, National Bureau of Economic Research, Inc.

    Cited by:

    1. Victor Alfonso Naya & Guillaume Bied & Philippe Caillou & Bruno Crépon & Christophe Gaillac & Elia Pérennes & Michèle Sebag, 2021. "Designing labor market recommender systems: the importance of job seeker preferences and competition," Post-Print hal-03540319, HAL.
    2. Coraggio, Luca & Pagano, Marco & Scognamiglio, Annalisa & TÃ¥g, Joacim, 2022. "JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality," CEPR Discussion Papers 17167, C.E.P.R. Discussion Papers.
    3. Jonas Radbruch & Amelie Schiprowski, 2020. "Interview Sequences and the Formation of Subjective Assessments," ECONtribute Discussion Papers Series 045, University of Bonn and University of Cologne, Germany.
    4. Lepage, Louis Pierre, 2021. "Endogenous learning, persistent employer biases, and discrimination," CLEF Working Paper Series 34, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    5. Bergman, Peter & Kopko, Elizabeth & Rodriguez, Julio, 2021. "Using Predictive Analytics to Track Students: Evidence from a Seven-College Experiment," IZA Discussion Papers 14500, Institute of Labor Economics (IZA).
    6. Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
    7. Moreira, Diana B. & Perez, Santiago, 2022. "Who Benefits from Meritocracy?," IZA Discussion Papers 15341, Institute of Labor Economics (IZA).
    8. Richard T. Carson & Joshua Graff Zivin & Jordan J. Louviere & Sally Sadoff & Jeffrey G. Shrader, 2022. "The Risk of Caution: Evidence from an Experiment," Management Science, INFORMS, vol. 68(12), pages 9042-9060, December.
    9. Marina Chugunova & Wolfgang J. Luhan, 2022. "Ruled by robots: Preference for algorithmic decision makers and perceptions of their choices," Working Papers in Economics & Finance 2022-03, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    10. Moran Koren, 2023. "The Gatekeeper Effect: The Implications of Pre-Screening, Self-selection, and Bias for Hiring Processes," Papers 2312.17167, arXiv.org.
    11. Mario Alberto García-Meza, 2021. "The Cost of Work Discrimination: A Market Capture Differential Game Model," Mathematics, MDPI, vol. 9(19), pages 1-10, September.
    12. Jin Li & Ye Luo & Xiaowei Zhang, 2021. "Causal Reinforcement Learning: An Instrumental Variable Approach," Papers 2103.04021, arXiv.org, revised Sep 2022.
    13. Benedikt Holtgen & Robert C. Williamson, 2024. "Causal modelling without introducing counterfactuals or abstract distributions," Papers 2407.17385, arXiv.org, revised Aug 2024.
    14. Laschever, Ron A. & Weinstein, Russell, 2021. "Preference Signaling and Worker-Firm Matching: Evidence from Interview Auctions," IZA Discussion Papers 14622, Institute of Labor Economics (IZA).
    15. Fumagalli, Elena & Rezaei, Sarah & Salomons, Anna, 2022. "OK computer: Worker perceptions of algorithmic recruitment," Research Policy, Elsevier, vol. 51(2).
    16. Laura Blattner & Scott Nelson & Jann Spiess, 2021. "Unpacking the Black Box: Regulating Algorithmic Decisions," Papers 2110.03443, arXiv.org, revised May 2024.
    17. Pisanelli, Elena, 2022. "Your resume is your gatekeeper: Automated resume screening as a strategy to reduce gender gaps in hiring," Economics Letters, Elsevier, vol. 221(C).
    18. Claudio Cardoso Flores & Marcelo Cunha Medeiros, 2020. "Online Action Learning in High Dimensions: A Conservative Perspective," Papers 2009.13961, arXiv.org, revised Mar 2024.
    19. Jentjens, Sabine & Cherbib, Jihène, 2023. "Trust me if you can – Do trust propensities in granting working-from-home arrangements change during times of exogenous shocks?," Journal of Business Research, Elsevier, vol. 161(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (3) 2020-09-21 2023-05-22 2023-05-22. Author is listed
  2. NEP-HRM: Human Capital and Human Resource Management (2) 2023-05-22 2024-03-25. Author is listed
  3. NEP-LMA: Labor Markets - Supply, Demand, and Wages (2) 2020-09-21 2023-05-22. Author is listed
  4. NEP-TID: Technology and Industrial Dynamics (2) 2023-05-22 2024-03-25. Author is listed
  5. NEP-AIN: Artificial Intelligence (1) 2024-03-25. Author is listed
  6. NEP-EFF: Efficiency and Productivity (1) 2024-03-25. Author is listed
  7. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2023-05-22. Author is listed
  8. NEP-PAY: Payment Systems and Financial Technology (1) 2023-05-22. Author is listed

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