Report NEP-BIG-2023-02-20

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:

• Laurent Ferrara & Anna Simoni, 2023. "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Post-Print hal-03919944, HAL.
• Mazzoni Leonardo & Pinelli Fabio & Riccaboni Massimo, 2023. "Measuring Corporate Digital Divide with web scraping: Evidence from Italy," Papers 2301.04925, arXiv.org.
• Elisa Luciano & Matteo Cattaneo & Ron Kenett, 2023. "Adversarial AI in Insurance: Pervasiveness and Resilience," Papers 2301.07520, arXiv.org.
• Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2023. "Taste of home: Birth town bias in Geographical Indications," Economics & Statistics Discussion Papers esdp23089, University of Molise, Department of Economics.
• Lin William Cong & Simon Mayer, 2023. "Data Union and Regulation in a Data Economy," NBER Working Papers 30881, National Bureau of Economic Research, Inc.
• María Victoria Landaberry & Kenji Nakasone & Johann Pérez & María del Pilar Posada, 2022. "A predictive model of sovereign investment grade using machine learning and natural language processing," Documentos de trabajo 2022005, Banco Central del Uruguay.
• Anastasios Petropoulos & Vassilis Siakoulis & Konstantinos P. Panousis & Loukas Papadoulas & Sotirios Chatzis, 2023. "Macroeconomic forecasting and sovereign risk assessment using deep learning techniques," Papers 2301.09856, arXiv.org.
• A. Papanicolaou & H. Fu & P. Krishnamurthy & B. Healy & F. Khorrami, 2023. "An Optimal Control Strategy for Execution of Large Stock Orders Using LSTMs," Papers 2301.09705, arXiv.org, revised Jun 2023.
• Michael Mueller-Smith & Benjamin Pyle & Caroline Walker, 2023. "Estimating the Impact of the Age of Criminal Majority: Decomposing Multiple Treatments in a Regression Discontinuity Framework," Working Papers 23-01, Center for Economic Studies, U.S. Census Bureau.
• Dangxing Chen & Luyao Zhang, 2023. "Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance," Papers 2301.07060, arXiv.org.
• Nikhil Sahni & George Stein & Rodney Zemmel & David M. Cutler, 2023. "The Potential Impact of Artificial Intelligence on Healthcare Spending," NBER Working Papers 30857, National Bureau of Economic Research, Inc.
• Christopher Wimmer & Navid Rekabsaz, 2023. "Leveraging Vision-Language Models for Granular Market Change Prediction," Papers 2301.10166, arXiv.org.
• Tzu-Ya Lai & Wen Jung Cheng & Jun-En Ding, 2023. "Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract)," Papers 2301.10153, arXiv.org.
• Bergeaud, Antonin & Verluise, Cyril, 2022. "The rise of China's technological power: the perspective from frontier technologies," LSE Research Online Documents on Economics 117998, London School of Economics and Political Science, LSE Library.
• Tom, Daniel M. Ph.D., 2023. "Eliminating Disparate Treatment in Modeling Default of Credit Card Clients," OSF Preprints cfyzv, Center for Open Science.
• Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2023. "ddml: Double/debiased machine learning in Stata," Papers 2301.09397, arXiv.org, revised Jan 2024.
• Bilgin, Rumeysa, 2023. "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv e26qf, Center for Open Science.
• Porta Mana, PierGianLuca & Rye, Ingrid & Vik, Alexandra & Kociński, Marek & Lundervold, Astri Johansen & Lundervold, Arvid & Lundervold, Alexander Selvikvåg, 2023. "Personalized prognosis & treatment using Ledley-Jaynes machines: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease," OSF Preprints 8nr56, Center for Open Science.
• Al-Haschimi, Alexander & Apostolou, Apostolos & Azqueta-Gavaldon, Andres & Ricci, Martino, 2023. "Using machine learning to measure financial risk in China," Working Paper Series 2767, European Central Bank.
• Jonathan Proctor & Tamma Carleton & Sandy Sum, 2023. "Parameter Recovery Using Remotely Sensed Variables," NBER Working Papers 30861, National Bureau of Economic Research, Inc.
• Pinski, Marc & Benlian, Alexander, 2023. "AI Literacy - Towards Measuring Human Competency in Artificial Intelligence," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 135990, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Jongsub Lee & Hayong Yun, 2023. "Learning Production Process Heterogeneity Across Industries: Implications of Deep Learning for Corporate M&A Decisions," Papers 2301.08847, arXiv.org.
• Ola, Aranuwa Felix, 2023. "Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—," OSF Preprints 37m9k, Center for Open Science.
• Ola, Aranuwa Felix, 2023. "Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by non-human animals and humans," OSF Preprints 8f59d, Center for Open Science.