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Report NEP-BIG-2022-07-18
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:
- Vitezslav Titl & Fritz Schiltz, 2021, "Identifying Politically Connected Firms: A Machine Learning Approach," Working Papers, Utrecht School of Economics, number 2110.
- Krikamol Muandet, 2022, "(Im)possibility of Collective Intelligence," Papers, arXiv.org, number 2206.02786, Jun, revised May 2025.
- Qizhao Chen & Vasilis Syrgkanis & Morgane Austern, 2022, "Debiased Machine Learning without Sample-Splitting for Stable Estimators," Papers, arXiv.org, number 2206.01825, Jun, revised Nov 2022.
- Zachary Feinstein & Birgit Rudloff, 2022, "Deep Learning the Efficient Frontier of Convex Vector Optimization Problems," Papers, arXiv.org, number 2205.07077, May, revised May 2024.
- Item repec:hal:wpspec:halshs-03231786 is not listed on IDEAS anymore
- Laurence Barry & Arthur Charpentier, 2022, "The Fairness of Machine Learning in Insurance: New Rags for an Old Man?," Papers, arXiv.org, number 2205.08112, May.
- Ekaterina Oparina & Caspar Kaiser & Niccol`o Gentile & Alexandre Tkatchenko & Andrew E. Clark & Jan-Emmanuel De Neve & Conchita D'Ambrosio, 2022, "Human Wellbeing and Machine Learning," Papers, arXiv.org, number 2206.00574, Jun.
- Juan Carlos Escanciano & Joel Robert Terschuur, 2022, "Debiased Machine Learning U-statistics," Papers, arXiv.org, number 2206.05235, Jun, revised Oct 2025.
- Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022, "Targeting Impact versus Deprivation," NBER Working Papers, National Bureau of Economic Research, Inc, number 30138, Jun.
- Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022, "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven, number 690486, Feb.
- Alex Bishop & Juan Mateos-Garcia & George Richardson, 2022, "Using Text Data to Improve Industrial Statistics in the UK," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers, Economic Statistics Centre of Excellence (ESCoE), number ESCoE DP-2022-01, Jan.
- Qiang Liu & Yingtao Luo & Shu Wu & Zhen Zhang & Xiangnan Yue & Hong Jin & Liang Wang, 2022, "RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring," Papers, arXiv.org, number 2206.00568, Jun.
- Koen W. de Bock & Arno de Caigny, 2021, "Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling," Post-Print, HAL, number hal-03391564, Nov, DOI: 10.1016/j.dss.2021.113523.
- Julia Anna Bingler & Mathias Kraus & Markus Leippold & Nicolas Webersinke, 2022, "Cheap Talk in Corporate Climate Commitments: The effectiveness of climate initiatives," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-54, Jun.
- Vu M. Ngo & Toan L.D. Huynh & Phuc V. Nguyen & Huan H. Nguyen, 2022, "Public sentiment towards economic sanctions in the Russia-Ukraine war," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1108.
- Petar Soric & Enric Monte & Salvador Torra & Oscar Claveria, 2022, ""Density forecasts of inflation using Gaussian process regression models"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202210, Jul, revised Jul 2022.
- Huifang Huang & Ting Gao & Yi Gui & Jin Guo & Peng Zhang, 2022, "Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength," Papers, arXiv.org, number 2205.15056, May.
- Rohith Mahadevan & Sam Richard & Kishore Harshan Kumar & Jeevitha Murugan & Santhosh Kannan & Saaisri & Tarun & Raja CSP Raman, 2022, "Payday loans -- blessing or growth suppressor? Machine Learning Analysis," Papers, arXiv.org, number 2205.15320, May.
- Christopher Bockel-Rickermann, 2022, "Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100," Papers, arXiv.org, number 2205.15853, May, revised Jun 2022.
- Liu, Mengxiao & Wang, Luhang & Yi, Yimin, 2022, "Quality Innovation, Cost Innovation, Export, and Firm Productivity Evolution: Evidence from the Chinese Electronics Industry," MPRA Paper, University Library of Munich, Germany, number 113270, Jul.
- Devina Lakhtakia & Ross McKitrick, 2022, "Climate Change and Measures of Economic Growth:Solving the Spatial Mismatch Problem," Working Papers, University of Guelph, Department of Economics and Finance, number 2203.
- Syed Abul, Basher & Jobaida, Behtarin & Salim, Rashid, 2022, "Convergence across Subnational Regions of Bangladesh – What the Night Lights Data Say?," MPRA Paper, University Library of Munich, Germany, number 111963, Jan.
- Bolivar, Osmar, 2022, "Roads illuminate development: Using nightlight luminosity to assess the impact of transport infrastructure," Research Department working papers, CAF Development Bank Of Latinamerica, number 1910.
- Franziska Löw, 2022, "Biased reporting by the German media?," Working Paper, Helmut Schmidt University, Hamburg, number 193/2022, Jun.
- Federico Fioravanti & Iyad Rahwan & Fernando Abel Tohm'e, 2022, "Classes of Aggregation Rules for Ethical Decision Making in Automated Systems," Papers, arXiv.org, number 2206.05160, Jun, revised Jun 2023.