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Big Data and Firm Dynamics

Citations

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Cited by:

  1. Naudé, Wim, 2019. "The Race against the Robots and the Fallacy of the Giant Cheesecake: Immediate and Imagined Impacts of Artificial Intelligence," IZA Discussion Papers 12218, Institute of Labor Economics (IZA).
  2. Isaac Baley & Laura Veldkamp, 2021. "Bayesian learning," Economics Working Papers 1797, Department of Economics and Business, Universitat Pompeu Fabra.
  3. Oliver Falck & Johannes Koenen, 2020. "Rohstoff „Daten“: Volkswirtschaflicher Nutzen von Datenbereitstellung – eine Bestandsaufnahme," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 113.
  4. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
  5. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
  6. Ahnert, Toni & Assenmacher, Katrin & Hoffmann, Peter & Leonello, Agnese & Monnet, Cyril & Porcellacchia, Davide, 2022. "The economics of central bank digital currency," Working Paper Series 2713, European Central Bank.
  7. Martin Beraja & David Y Yang & Noam Yuchtman, 2023. "Data-intensive Innovation and the State: Evidence from AI Firms in China," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1701-1723.
  8. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
  9. Cujean, Julien & Bustamante, Maria Cecilia & Frésard, Laurent, 2019. "Knowledge Cycles and Corporate Investment," CEPR Discussion Papers 14152, C.E.P.R. Discussion Papers.
  10. Zhijun Chen & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2022. "Data‐driven mergers and personalization," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 3-31, March.
  11. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  12. Massimo Motta & Martin Peitz, 2023. "Denial of Interoperability and Future First-Party Entry," CRC TR 224 Discussion Paper Series crctr224_2023_447, University of Bonn and University of Mannheim, Germany.
  13. Rod Garratt & Michael Junho Lee, 2021. "Monetizing Privacy," Staff Reports 958, Federal Reserve Bank of New York.
  14. Wagner, Dirk Nicolas, 2020. "The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm," Telecommunications Policy, Elsevier, vol. 44(6).
  15. Ye Li & Simon Mayer & Simon Mayer, 2021. "Money Creation in Decentralized Finance: A Dynamic Model of Stablecoin and Crypto Shadow Banking," CESifo Working Paper Series 9260, CESifo.
  16. Hiroatsu Tanaka, 2022. "Equilibrium Yield Curves with Imperfect Information," Finance and Economics Discussion Series 2022-086, Board of Governors of the Federal Reserve System (U.S.).
  17. Sebastian Doerr & Jon Frost & Leonardo Gambacorta & Vatsala Shreeti, 2023. "Big techs in finance," BIS Working Papers 1129, Bank for International Settlements.
  18. Haisen Wang & Gangqiang Yang & Ziyang Yue, 2023. "Breaking through ingrained beliefs: revisiting the impact of the digital economy on carbon emissions," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
  19. Yannelis, Constantine & Zhang, Anthony Lee, 2023. "Competition and selection in credit markets," Journal of Financial Economics, Elsevier, vol. 150(2).
  20. Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
  21. Tania Babina & Alex X. He & Anastassia Fedyk & James Hodson, 2022. "Artificial Intelligence, Firm Growth, and Product Innovation," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
  22. Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).
  23. Oliver Falck & Johannes Koenen, 2020. "Resource “Data”: Economic Benefits of Data Provision," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 31-41, September.
  24. Wim Naudé, 2023. "Late industrialisation and global value chains under platform capitalism," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(1), pages 91-119, March.
  25. Zhijun Chen & pch346 & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2020. "Data-Driven Mergers and Personalization," Monash Economics Working Papers 16-20, Monash University, Department of Economics.
  26. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
  27. Naudé, Wim, 2020. "Industrialization under Medieval Conditions? Global Development after COVID-19," GLO Discussion Paper Series 704, Global Labor Organization (GLO).
  28. Walther, Ansgar & Uettwiller, Antoine, 2019. "The Market for Data Privacy," CEPR Discussion Papers 13588, C.E.P.R. Discussion Papers.
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