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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

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. Brynjolfsson, Erik & Li, Danielle & Raymond, Lindsey R., 2023. "Generative AI at Work," Research Papers 4141, Stanford University, Graduate School of Business.
  2. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2023. "Generative AI at Work," Papers 2304.11771, arXiv.org.
  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. Brynjolfsson, Erik & Li, Danielle & Raymond, Lindsey R., 2023. "Generative AI at Work," Research Papers 4141, Stanford University, Graduate School of Business.

    Cited by:

    1. Anil R. Doshi & Oliver P. Hauser, 2023. "Generative artificial intelligence enhances creativity but reduces the diversity of novel content," Papers 2312.00506, arXiv.org, revised Mar 2024.
    2. 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.
    3. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
    4. 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.
    5. 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.

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

    Cited by:

    1. Anil R. Doshi & Oliver P. Hauser, 2023. "Generative artificial intelligence enhances creativity but reduces the diversity of novel content," Papers 2312.00506, arXiv.org, revised Mar 2024.
    2. Walkowiak, Emmanuelle, 2023. "Task-interdependencies between Generative AI and Workers," Economics Letters, Elsevier, vol. 231(C).
    3. 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.
    4. 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.
    5. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
    6. 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).
    7. 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.
    8. Elias Bouacida & Renaud Foucart & Maya Jalloul, 2024. "Decreasing Differences in Expert Advice," Working Papers 408394204, Lancaster University Management School, Economics Department.
    9. 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.
    10. 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.
    11. 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.
    12. Rosa-García, Alfonso, 2024. "Student Reactions to AI-Replicant Professor in an Econ101 Teaching Video," MPRA Paper 120135, University Library of Munich, Germany.
    13. 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.

  3. 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. Pagano, Marco & Coraggio, Luca & 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. Jonas Radbruch & Amelie Schiprowski, 2024. "Interview Sequences and the Formation of Subjective Assessments," CESifo Working Paper Series 10957, CESifo.
    6. 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).
    7. Jonas Radbruch & Amelie Schiprowski, 2024. "Interview Sequences and the Formation of Subjective Assessments," Rationality and Competition Discussion Paper Series 497, CRC TRR 190 Rationality and Competition.
    8. Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
    9. Moreira, Diana B. & Perez, Santiago, 2022. "Who Benefits from Meritocracy?," IZA Discussion Papers 15341, Institute of Labor Economics (IZA).
    10. 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.
    11. 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.
    12. Marina Chugunova & Wolfgang Luhan, 2023. "Ruled by Robots: Preference for Algorithmic Decision Makers and Perceptions of Their Choices," Rationality and Competition Discussion Paper Series 439, CRC TRR 190 Rationality and Competition.
    13. Moran Koren, 2023. "The Gatekeeper Effect: The Implications of Pre-Screening, Self-selection, and Bias for Hiring Processes," Papers 2312.17167, arXiv.org.
    14. 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.
    15. Jin Li & Ye Luo & Xiaowei Zhang, 2021. "Causal Reinforcement Learning: An Instrumental Variable Approach," Papers 2103.04021, arXiv.org, revised Sep 2022.
    16. 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).
    17. Fumagalli, Elena & Rezaei, Sarah & Salomons, Anna, 2022. "OK computer: Worker perceptions of algorithmic recruitment," Research Policy, Elsevier, vol. 51(2).
    18. Laura Blattner & Scott Nelson & Jann Spiess, 2021. "Unpacking the Black Box: Regulating Algorithmic Decisions," Papers 2110.03443, arXiv.org, revised Jul 2023.
    19. 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).
    20. Claudio Cardoso Flores & Marcelo Cunha Medeiros, 2020. "Online Action Learning in High Dimensions: A Conservative Perspective," Papers 2009.13961, arXiv.org, revised Mar 2024.
    21. 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

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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 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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