IDEAS home Printed from https://ideas.repec.org/r/aea/aecrev/v107y2017i5p476-80.html

Does Machine Learning Automate Moral Hazard and Error?

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wayne Xinwei Wan & Thies Lindenthal, 2023. "Testing machine learning systems in real estate," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(3), pages 754-778, May.
  2. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, IZA Network @ LISER.
  3. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," CEPR Discussion Papers 15660, C.E.P.R. Discussion Papers.
  4. Ziyuan Wang, 2023. "Spatial Differentiation Characteristics of Rural Areas Based on Machine Learning and GIS Statistical Analysis—A Case Study of Yongtai County, Fuzhou City," Sustainability, MDPI, vol. 15(5), pages 1-18, March.
  5. Ashvin Gandhi & Maggie Shi, 2025. "Screening Through Soft Spending Limits: Evidence from the Medicare Therapy Cap," NBER Working Papers 33722, National Bureau of Economic Research, Inc.
  6. Daníelsson, Jón & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," Journal of Banking & Finance, Elsevier, vol. 140(C).
  7. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
  8. Songul Tolan, 2018. "Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges," JRC Working Papers on Digital Economy 2018-10, Joint Research Centre.
  9. Markus Eyting, 2020. "A Random Forest a Day Keeps the Doctor Away," Working Papers 2026, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  10. Yves Paul Vincent Mbous & Todd Brothers & Mohammad A. Al-Mamun, 2023. "Medication Regimen Complexity Index Score at Admission as a Predictor of Inpatient Outcomes: A Machine Learning Approach," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
  11. Bo Cowgill, 2019. "Bias and Productivity in Humans and Machines," Upjohn Working Papers 19-309, W.E. Upjohn Institute for Employment Research.
  12. Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.
  13. David Bardey & Philippe de Donder & Marie-Louise Leroux, 2024. "Incentivizing Physicians' Diagnostic Effort and Test with Moral Hazard and Adverse Selection," Working Papers hal-04803393, HAL.
  14. Navitha Singh Sewpersadh, 2023. "Disruptive business value models in the digital era," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-27, December.
  15. Sasja Maria Pedersen & Nicolai Damslund & Trine Kjær & Kim Rose Olsen, 2025. "Optimising test intervals for individuals with type 2 diabetes: A machine learning approach," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-19, February.
  16. Maria De-Arteaga & Vincent Jeanselme & Artur Dubrawski & Alexandra Chouldechova, 2025. "Leveraging Expert Consistency to Improve Algorithmic Decision Support," Management Science, INFORMS, vol. 71(12), pages 10465-10485, December.
  17. Heirati, Nima & Pitardi, Valentina & Wirtz, Jochen & Jayawardhena, Chanaka & Kunz, Werner & Paluch, Stefanie, 2025. "Unintended consequences of service robots – Recent progress and future research directions," Journal of Business Research, Elsevier, vol. 194(C).
  18. Xinran Liu, 2026. "Recovering Counterfactual Distributions via Wasserstein GANs," Papers 2601.17296, arXiv.org.
  19. repec:plo:pone00:0204920 is not listed on IDEAS
  20. Laura Blattner & Scott Nelson & Jann Spiess, 2021. "Unpacking the Black Box: Regulating Algorithmic Decisions," Papers 2110.03443, arXiv.org, revised May 2024.
  21. Kan Xu & Hamsa Bastani, 2025. "Multitask Learning and Bandits via Robust Statistics," Management Science, INFORMS, vol. 71(9), pages 7752-7773, September.
  22. Sendhil Mullainathan & Ziad Obermeyer, 2023. "Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(2), pages 679-727.
  23. van Giffen, Benjamin & Herhausen, Dennis & Fahse, Tobias, 2022. "Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods," Journal of Business Research, Elsevier, vol. 144(C), pages 93-106.
  24. Hamsa Bastani, 2021. "Predicting with Proxies: Transfer Learning in High Dimension," Management Science, INFORMS, vol. 67(5), pages 2964-2984, May.
  25. Lambin, Xavier & Raizonville, Adrien, 2025. "From black box to glass box: algorithmic explainability as a strategic decision," Information Economics and Policy, Elsevier, vol. 71(C).
  26. Jill Walker Rettberg, 2020. "Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
  27. Wan, Wayne Xinwei & Lindenthal, Thies, 2022. "Towards accountability in machine learning applications: A system-testing approach," ZEW Discussion Papers 22-001, ZEW - Leibniz Centre for European Economic Research.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.