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Economists (and Economics) in Tech Companies

Citations

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Cited by:

  1. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
  2. Rickard Nyman & Paul Ormerod, 2020. "Understanding the Great Recession Using Machine Learning Algorithms," Papers 2001.02115, arXiv.org.
  3. Yuting Xiao & Buwajian Abula, 2024. "Examining the Impact of Digital Economy on Agricultural Trade Efficiency in RCEP Region: A Perspective Based on Spatial Spillover Effects," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 9907-9934, September.
  4. Larin, Sergey & Khrustalev, Evgeny & Ermakova, Yasmina, 2023. "Characteristics of markets for the creation of innovative products and their impact on the mechanisms of interaction between the subjects of the innovation infrastructure," MPRA Paper 119340, University Library of Munich, Germany, revised 28 Apr 2023.
  5. Gružauskas Valentas & Čalnerytė Dalia & Fyleris Tautvydas & Kriščiūnas Andrius, 2021. "Application of Multivariate Time Series Cluster Analysis to Regional Socioeconomic Indicators of Municipalities," Real Estate Management and Valuation, Sciendo, vol. 29(3), pages 39-51, September.
  6. Abraham K. Song, 2019. "The Digital Entrepreneurial Ecosystem—a critique and reconfiguration," Small Business Economics, Springer, vol. 53(3), pages 569-590, October.
  7. Stefan Wager & Kuang Xu, 2021. "Experimenting in Equilibrium," Management Science, INFORMS, vol. 67(11), pages 6694-6715, November.
  8. Apostolos Filippas & John J. Horton & Richard J. Zeckhauser, 2020. "Owning, Using, and Renting: Some Simple Economics of the “Sharing Economy”," Management Science, INFORMS, vol. 66(9), pages 4152-4172, September.
  9. Stefan Wager & Kuang Xu, 2019. "Experimenting in Equilibrium," Papers 1903.02124, arXiv.org, revised Jun 2020.
  10. Thomas V Maher & Charles Seguin & Yongjun Zhang & Andrew P Davis, 2020. "Social scientists’ testimony before Congress in the United States between 1946-2016, trends from a new dataset," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-13, March.
  11. Gary Charness & Brian Jabarian & John List, 2023. "Generation Next: Experimentation with AI," Artefactual Field Experiments 00777, The Field Experiments Website.
  12. Greiff, Matthias & Paetzel, Fabian, 2020. "Information about average evaluations spurs cooperation: An experiment on noisy reputation systems," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 334-356.
  13. Nicolas Petit & David J Teece, 2021. "Innovating Big Tech firms and competition policy: favoring dynamic over static competition [Patterns of industrial innovation]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(5), pages 1168-1198.
  14. Michael G Jacobides & Ioannis Lianos, 2021. "Regulating platforms and ecosystems: an introduction [Ecosystem as structure: an actionable construct for strategy]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(5), pages 1131-1142.
  15. Valentiny, Pál, 2024. "Mennyire innovatívak a Big Tech vállalatok? [How innovative are Big Tech companies?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 22-56.
  16. Boto-García, David & Leoni, Veronica, 2024. "Noisy signals: Does rating volatility depend on the length of the consumption span?," Economic Modelling, Elsevier, vol. 139(C).
  17. repec:osf:socarx:9nh8g_v1 is not listed on IDEAS
  18. Bessen, James & Impink, Stephen Michael & Reichensperger, Lydia & Seamans, Robert, 2022. "The role of data for AI startup growth," Research Policy, Elsevier, vol. 51(5).
  19. Gallin, Joshua & Molloy, Raven & Nielsen, Eric & Smith, Paul & Sommer, Kamila, 2021. "Measuring aggregate housing wealth: New insights from machine learning ☆," Journal of Housing Economics, Elsevier, vol. 51(C).
  20. Krügel, Jan Philipp & Paetzel, Fabian, 2024. "The impact of fraud on reputation systems," Games and Economic Behavior, Elsevier, vol. 144(C), pages 329-354.
  21. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
  22. Krügel, Jan Philipp & Paetzel, Fabian, 2021. "The Impact of Fake Reviews on Reputation Systems and Efficiency," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242415, Verein für Socialpolitik / German Economic Association.
  23. Jürgen Rösch, 2024. "Market entry as a marketplace owner: when and why should you sell on your marketplace?," Journal of Business Economics, Springer, vol. 94(3), pages 525-541, April.
  24. Kuroki, Masanori, 2021. "Using Python and Google Colab to teach undergraduate microeconomic theory," International Review of Economics Education, Elsevier, vol. 38(C).
  25. Deshpande, Advait, 2020. "The potential influence of machine learning and data science on the future of economics: Overview of highly-cited research," SocArXiv 9nh8g, Center for Open Science.
  26. Jacobides, Michael G. & Cennamo, Carmelo & Gawer, Annabelle, 2024. "Externalities and complementarities in platforms and ecosystems: From structural solutions to endogenous failures," Research Policy, Elsevier, vol. 53(1).
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