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Deep Learning for Economists

Citations

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Cited by:

  1. Garg, Prashant & Fetzer, Thiemo, 2024. "Causal Claims in Economics," I4R Discussion Paper Series 183, The Institute for Replication (I4R).
  2. Francesco Columba & Manuel Cugliari & Stefano Di Virgilio, 2026. "Credit Risk Assessment with Stacked Machine Learning," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 73, Bank of Italy, Directorate General for Markets and Payment System.
  3. Adriano Amati & Monica Billio & Marco Di Cataldo & Giovanni Mastrobuoni, 2026. "Mafia Connections: Infiltration in Corporate Ownership," Working Papers 2026: 24, Department of Economics, University of Venice "Ca' Foscari".
  4. Ingar Haaland & Christopher Roth & Stefanie Stantcheva & Johannes Wohlfart, 2025. "Understanding Economic Behavior Using Open-Ended Survey Data," Journal of Economic Literature, American Economic Association, vol. 63(4), pages 1244-1280, December.
  5. Vegard H. Larsen & Leif Anders Thorsrud, 2026. "Zero-Shot Conditional Forecasting and the Information Content of Central Bank Paths," CESifo Working Paper Series 12972, CESifo.
  6. Feyzollahi, Maryam & Rafizadeh, Nima, 2025. "The adoption of Large Language Models in economics research," Economics Letters, Elsevier, vol. 250(C).
  7. Yugang He, 2026. "RETRACTED ARTICLE: Beyond GDP: national intelligence quotient as a catalyst for sustainable socioeconomic welfare," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-15, December.
  8. Sukjin Han, 2026. "Mining Causality: AI-Assisted Search for Instrumental Variables," Bristol Economics Discussion Papers 26/833, School of Economics, University of Bristol, UK.
  9. Guillaume Coqueret & Joan Llull & Florian Oswald & Christophe Pérignon & Christoph Scheuch & Lars Vilhuber, 2026. "Randomness In Large Language Models: What Researchers Need to Know (And Report)," Working Papers hal-05730402, HAL.
  10. Tsang, Kwok Ping & Yang, Zichao, 2025. "Agree to disagree: Measuring hidden dissent in FOMC meetings," Journal of Economic Dynamics and Control, Elsevier, vol. 180(C).
  11. Anina Harter, 2025. "Legislative institutions and distributive politics: Evidence from Germany’s federal budget committee," Berlin School of Economics Discussion Papers 0075, Berlin School of Economics.
  12. Tianyu Fan, 2025. "The Labor Market Incidence of New Technologies," Papers 2504.04047, arXiv.org, revised Nov 2025.
  13. Yi Lu & Aifan Ling & Chaoqun Wang & Yaxin Xu, 2025. "Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction," Papers 2509.10802, arXiv.org.
  14. Fernández-Villaverde, Jesús & Nuño, Galo & Perla, Jesse, 2024. "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," CEPR Discussion Papers 19636, Centre for Economic Policy Research.
  15. Cars Hommes & Isabelle Salle & Julien Pinter, 2026. "Fiscal Beliefs & Narratives," Tinbergen Institute Discussion Papers 26-031/VI, Tinbergen Institute.
  16. Clayton, Christopher & Coppola, Antonio & Maggiori, Matteo & Schreger, Jesse, 2025. "Chokepoints: Identifying Economic Pressure," SocArXiv zsc4x_v1, Center for Open Science.
  17. Pablo Ottonello & Wenting Song & Sebastian Sotelo, 2024. "An Anatomy of Firms’ Political Speech," NBER Working Papers 32923, National Bureau of Economic Research, Inc.
  18. Tianyu Fan & Mai Wo & Wei Xiang, 2025. "Geopolitical Barriers to Globalization," Papers 2509.12084, arXiv.org, revised Apr 2026.
  19. Tianyu Fan, 2025. "Measuring Geopolitical Alignment and Economic Growth," Papers 2507.04833, arXiv.org, revised Oct 2026.
  20. Davide Cipullo & Luca V.A. Colombo & Michele Magnani & Massimiliano Gaetano Onorato, 2025. "Historical Newspaper Markets," CESifo Working Paper Series 12194, CESifo.
  21. Jacob Carlson, 2025. "Interpretable Discovery from Unstructured Data: A High-Dimensional Approach," Papers 2511.01680, arXiv.org, revised Oct 2026.
  22. repec:ehl:lserod:128852 is not listed on IDEAS
  23. Chang, Samuel & Kennedy, Andrew & Leonard, Aaron & List, John A., 2026. "12 best practices for leveraging Generative AI in experimental research," Journal of Economic Behavior & Organization, Elsevier, vol. 246(C).
  24. Vegard H. Larsen & Leif Anders Thorsrud, 2026. "Using Transformers and Reinforcement Learning as Narrative Filters in Macroeconomics," Working Papers No 02/2026, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  25. Sukjin Han & Kyungho Lee, 2025. "Copyright and Competition: Estimating Supply and Demand with Unstructured Data," Papers 2501.16120, arXiv.org, revised Sep 2025.
  26. Johan Fourie, 2026. "A Gate-and-Menu Theory of Collective Tourism Brand Value," Papers 2607.17827, arXiv.org.
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