Report NEP-BIG-2024-07-08

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Benjamin Avanzi & Eric Dong & Patrick J. Laub & Bernard Wong, 2024. "Distributional Refinement Network: Distributional Forecasting via Deep Learning," Papers 2406.00998, arXiv.org.
• Lei Fan & Justin Sirignano, 2024. "Machine Learning Methods for Pricing Financial Derivatives," Papers 2406.00459, arXiv.org.
• Mahdi Ebrahimi Kahou & James Yu & Jesse Perla & Geoff Pleiss, 2024. "How Inductive Bias in Machine Learning Aligns with Optimality in Economic Dynamics," Papers 2406.01898, arXiv.org, revised Jun 2024.
• Shidi Deng & Maximilian Schiffer & Martin Bichler, 2024. "Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning," Papers 2406.02437, arXiv.org.
• Sarr, Ibrahima & Dang, Hai-Anh H & Gutierrez, Carlos Santiago Guzman & Beltramo, Theresa & Verme, Paolo, 2024. "Using Cross-Survey Imputation to Estimate Poverty for Venezuelan Refugees in Colombia," IZA Discussion Papers 17036, Institute of Labor Economics (IZA).
• Umang Khetan & Jetson Leder-Luis & Jialan Wang & Yunrong Zhou, 2024. "Unemployment Insurance Fraud in the Debit Card Market," NBER Working Papers 32527, National Bureau of Economic Research, Inc.
• Henri Fraisse & Christophe Hurlin, 2024. "Modèles internes des banques pour le calcul du capital réglementaire (IRB) et intelligence artificielle," Débats économiques et financiers 44, Banque de France.
• Missbach, Leonard & Steckel, Jan Christoph, 2024. "Distributional impacts of climate policy and effective compensation: Evidence from 88 countries," EconStor Preprints 296491, ZBW - Leibniz Information Centre for Economics.
• Reza Arabpour & John Armstrong & Luca Galimberti & Anastasis Kratsios & Giulia Livieri, 2024. "Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach," Papers 2405.20094, arXiv.org.
• Jinxin Xu & Kaixian Xu & Yue Wang & Qinyan Shen & Ruisi Li, 2024. "A K-means Algorithm for Financial Market Risk Forecasting," Papers 2405.13076, arXiv.org.
• Marit Hinnosaar & Toomas Hinnosaar, 2024. "Influencer Cartels," Papers 2405.10231, arXiv.org, revised Nov 2024.
• Denish Omondi Otieno & Faranak Abri & Sima Siami-Namini & Akbar Siami Namin, 2024. "The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models," Papers 2405.19578, arXiv.org.
• Bernhard Ganglmair & Julia Krämer & Jacopo Gambato, 2024. "Regulatory Compliance with Limited Enforceability: Evidence from Privacy Policies," CRC TR 224 Discussion Paper Series crctr224_2024_547, University of Bonn and University of Mannheim, Germany.
• Greg Stoddard & Dylan J. Fitzpatrick & Jens Ludwig, 2024. "Predicting Police Misconduct," NBER Working Papers 32432, National Bureau of Economic Research, Inc.
• Ariadna García-Prado & Paula González & Yolanda F. Rebollo-Sanz, 2024. "Confinement policies: controlling contagion without compromising mental health," Working Papers 24.03, Universidad Pablo de Olavide, Department of Economics.