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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.

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. Danielle Li & Lindsey Raymond & Peter Bergman, 2024. "Hiring as Exploration," Papers 2411.03616, arXiv.org.

    Cited by:

    1. 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).
    2. Radbruch, Jonas & Schiprowski, Amelie, 2021. "Interview Sequences and the Formation of Subjective Assessments," IZA Discussion Papers 14799, Institute of Labor Economics (IZA).
    3. 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.
    4. Jin Li & Ye Luo & Zigan Wang & Xiaowei Zhang, 2021. "Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity," Papers 2103.04021, arXiv.org, revised Dec 2024.
    5. Fumagalli, Elena & Rezaei, Sarah & Salomons, Anna, 2022. "OK computer: Worker perceptions of algorithmic recruitment," Research Policy, Elsevier, vol. 51(2).
    6. 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).
    7. 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.
    8. Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
    9. 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.
    10. 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.
    11. Benedikt Holtgen & Robert C. Williamson, 2024. "Causal modelling without introducing counterfactuals or abstract distributions," Papers 2407.17385, arXiv.org, revised Aug 2024.
    12. Lepage, Louis Pierre, 2021. "Endogenous learning, persistent employer biases, and discrimination," CLEF Working Paper Series 34, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    13. Moreira, Diana B. & Perez, Santiago, 2022. "Who Benefits from Meritocracy?," IZA Discussion Papers 15341, Institute of Labor Economics (IZA).
    14. Moran Koren, 2023. "The Gatekeeper Effect: The Implications of Pre-Screening, Self-selection, and Bias for Hiring Processes," Papers 2312.17167, arXiv.org.
    15. Laura Blattner & Scott Nelson & Jann Spiess, 2021. "Unpacking the Black Box: Regulating Algorithmic Decisions," Papers 2110.03443, arXiv.org, revised May 2024.
    16. 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).
    17. 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.
    18. 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).
    19. Claudio Cardoso Flores & Marcelo Cunha Medeiros, 2020. "Online Action Learning in High Dimensions: A Conservative Perspective," Papers 2009.13961, arXiv.org, revised Mar 2024.

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

    Cited by:

    1. 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.
    2. 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.
    3. Spencer Bastani & Daniel Waldenström, 2024. "AI, Automation and Taxation," CESifo Working Paper Series 11084, CESifo.
    4. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
    5. Goller, Daniel & Gschwendt, Christian & Wolter, Stefan C., 2023. ""This Time It's Different" - Generative Artificial Intelligence and Occupational Choice," IZA Discussion Papers 16638, Institute of Labor Economics (IZA).
    6. 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.
    7. 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.
    8. 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.
    9. Iñaki Aldasoro & Leonardo Gambacorta & Anton Korinek & Vatsala Shreeti & Merlin Stein, 2024. "Intelligent financial system: how AI is transforming finance," BIS Working Papers 1194, Bank for International Settlements.
    10. 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).
    11. Gaétan de Rassenfosse & Adam Jaffe & Joal Waldfogel, 2024. "Intellectual Property and Creative Machines," Working Papers 27, Chair of Science, Technology, and Innovation Policy.
    12. Nwaobi, Godwin, 2024. "Nigerian Firms and Digital Transformation:Incubations, Unipoding and Prospects," MPRA Paper 121833, University Library of Munich, Germany.
    13. 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).
    14. Lilia Patrignani, 2024. "Understanding digital trade," Questioni di Economia e Finanza (Occasional Papers) 841, Bank of Italy, Economic Research and International Relations Area.
    15. Walkowiak, Emmanuelle, 2023. "Task-interdependencies between Generative AI and Workers," Economics Letters, Elsevier, vol. 231(C).
    16. 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.
    17. Eaman Jahani & Benjamin S. Manning & Joe Zhang & Hong-Yi TuYe & Mohammed Alsobay & Christos Nicolaides & Siddharth Suri & David Holtz, 2024. "As Generative Models Improve, We Must Adapt Our Prompts," Papers 2407.14333, arXiv.org, revised Dec 2024.
    18. 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).
    19. Elias Bouacida & Renaud Foucart & Maya Jalloul, 2024. "Decreasing Differences in Expert Advice," Working Papers 408394204, Lancaster University Management School, Economics Department.
    20. 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.
    21. Mahdi Ahmadi & Neda Khosh Kheslat & Adebola Akintomide, 2024. "Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements," Papers 2412.07042, arXiv.org.
    22. Aldasoro, Iñaki & Armantier, Olivier & Doerr, Sebastian & Gambacorta, Leonardo & Oliviero, Tommaso, 2024. "The gen AI gender gap," Economics Letters, Elsevier, vol. 241(C).
    23. Freund, L. B., 2022. "Superstar Teams: The Micro Origins and Macro Implications of Coworker Complementarities," Janeway Institute Working Papers 2235, Faculty of Economics, University of Cambridge.
    24. 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.
    25. James Bono & Alec Xu, 2024. "Randomized Controlled Trials for Security Copilot for IT Administrators," Papers 2411.01067, arXiv.org, revised Nov 2024.
    26. 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).
    27. Bastani, Spencer & Waldenström, Daniel, 2024. "AI, Automation and Taxation," IZA Policy Papers 212, Institute of Labor Economics (IZA).
    28. 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.
    29. Christian Peukert & Florian Abeillon & Jérémie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," CESifo Working Paper Series 11099, CESifo.
    30. 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.
    31. Masazumi Wakatabe, 2024. ""Opulence and Freedom": What Adam Smith Could Teach Us about the Future of Capitalism," Working Papers 2407, Waseda University, Faculty of Political Science and Economics.
    32. 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).
    33. 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).
    34. Retkowsky, Jana & Hafermalz, Ella & Huysman, Marleen, 2024. "Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects," Business Horizons, Elsevier, vol. 67(5), pages 511-523.
    35. 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.
    36. 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.
    37. Rosa-García, Alfonso, 2024. "Student Reactions to AI-Replicant Professor in an Econ101 Teaching Video," MPRA Paper 120135, University Library of Munich, Germany.

More information

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Statistics

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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 5 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 (3) 2023-05-22 2024-03-25 2024-12-16. Author is listed
  3. NEP-LMA: Labor Markets - Supply, Demand, and Wages (3) 2020-09-21 2023-05-22 2024-12-16. 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
  6. NEP-EFF: Efficiency and Productivity (1) 2024-03-25
  7. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2023-05-22
  8. NEP-PAY: Payment Systems and Financial Technology (1) 2023-05-22

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