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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, number hal-03919944, Oct, DOI: 10.1080/07350015.2022.2116025.
- Mazzoni Leonardo & Pinelli Fabio & Riccaboni Massimo, 2023, "Measuring Corporate Digital Divide with web scraping: Evidence from Italy," Papers, arXiv.org, number 2301.04925, Jan.
- Elisa Luciano & Matteo Cattaneo & Ron Kenett, 2023, "Adversarial AI in Insurance: Pervasiveness and Resilience," Papers, arXiv.org, number 2301.07520, Jan.
- Resce, Giuliano & Vaquero-Piñeiro, Cristina, 2023, "Taste of home: Birth town bias in Geographical Indications," Economics & Statistics Discussion Papers, University of Molise, Department of Economics, number esdp23089, Feb.
- Lin William Cong & Simon Mayer, 2023, "Data Union and Regulation in a Data Economy," NBER Working Papers, National Bureau of Economic Research, Inc, number 30881, Jan.
- 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, Banco Central del Uruguay, number 2022005.
- Anastasios Petropoulos & Vassilis Siakoulis & Konstantinos P. Panousis & Loukas Papadoulas & Sotirios Chatzis, 2023, "Macroeconomic forecasting and sovereign risk assessment using deep learning techniques," Papers, arXiv.org, number 2301.09856, Jan.
- A. Papanicolaou & H. Fu & P. Krishnamurthy & B. Healy & F. Khorrami, 2023, "An Optimal Control Strategy for Execution of Large Stock Orders Using LSTMs," Papers, arXiv.org, number 2301.09705, Jan, 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, Center for Economic Studies, U.S. Census Bureau, number 23-01, Jan.
- 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, arXiv.org, number 2301.07060, Jan.
- Nikhil Sahni & George Stein & Rodney Zemmel & David M. Cutler, 2023, "The Potential Impact of Artificial Intelligence on Healthcare Spending," NBER Working Papers, National Bureau of Economic Research, Inc, number 30857, Jan.
- Christopher Wimmer & Navid Rekabsaz, 2023, "Leveraging Vision-Language Models for Granular Market Change Prediction," Papers, arXiv.org, number 2301.10166, Jan.
- Tzu-Ya Lai & Wen Jung Cheng & Jun-En Ding, 2023, "Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract)," Papers, arXiv.org, number 2301.10153, Jan.
- Bergeaud, Antonin & Verluise, Cyril, 2022, "The rise of China's technological power: the perspective from frontier technologies," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 117998, Oct.
- Tom, Daniel M. Ph.D., 2023, "Eliminating Disparate Treatment in Modeling Default of Credit Card Clients," OSF Preprints, Center for Open Science, number cfyzv, Jan, DOI: 10.31219/osf.io/cfyzv.
- Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2023, "ddml: Double/debiased machine learning in Stata," Papers, arXiv.org, number 2301.09397, Jan, revised Jan 2024.
- Bilgin, Rumeysa, 2023, "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv, Center for Open Science, number e26qf, Jan, DOI: 10.31219/osf.io/e26qf.
- 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, Center for Open Science, number 8nr56, Jan, DOI: 10.31219/osf.io/8nr56.
- Al-Haschimi, Alexander & Apostolou, Apostolos & Azqueta-Gavaldon, Andres & Ricci, Martino, 2023, "Using machine learning to measure financial risk in China," Working Paper Series, European Central Bank, number 2767, Jan.
- Jonathan Proctor & Tamma Carleton & Sandy Sum, 2023, "Parameter Recovery Using Remotely Sensed Variables," NBER Working Papers, National Bureau of Economic Research, Inc, number 30861, Jan.
- Pinski, Marc & Benlian, Alexander, 2023, "AI Literacy - Towards Measuring Human Competency in Artificial Intelligence," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 135990.
- Jongsub Lee & Hayong Yun, 2023, "Learning Production Process Heterogeneity Across Industries: Implications of Deep Learning for Corporate M&A Decisions," Papers, arXiv.org, number 2301.08847, Jan.
- Ola, Aranuwa Felix, 2023, "Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—," OSF Preprints, Center for Open Science, number 37m9k, Jan, DOI: 10.31219/osf.io/37m9k.
- 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, Center for Open Science, number 8f59d, Jan, DOI: 10.31219/osf.io/8f59d.