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 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:

• Vitezslav Titl & Fritz Schiltz, 2021. "Identifying Politically Connected Firms: A Machine Learning Approach," Working Papers 2110, Utrecht School of Economics.
• Krikamol Muandet, 2022. "Impossibility of Collective Intelligence," Papers 2206.02786, arXiv.org.
• Qizhao Chen & Vasilis Syrgkanis & Morgane Austern, 2022. "Debiased Machine Learning without Sample-Splitting for Stable Estimators," Papers 2206.01825, arXiv.org, revised Nov 2022.
• Zachary Feinstein & Birgit Rudloff, 2022. "Deep Learning the Efficient Frontier of Convex Vector Optimization Problems," Papers 2205.07077, arXiv.org, revised May 2024.
• Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," SciencePo Working papers halshs-03231786, HAL.
• Laurence Barry & Arthur Charpentier, 2022. "The Fairness of Machine Learning in Insurance: New Rags for an Old Man?," Papers 2205.08112, arXiv.org.
• 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 2206.00574, arXiv.org.
• Juan Carlos Escanciano & Joel Robert Terschuur, 2022. "Machine Learning Inference on Inequality of Opportunity," Papers 2206.05235, arXiv.org, revised Oct 2023.
• Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022. "Targeting Impact versus Deprivation," NBER Working Papers 30138, National Bureau of Economic Research, Inc.
• Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022. "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven 690486, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
• 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 ESCoE DP-2022-01, Economic Statistics Centre of Excellence (ESCoE).
• 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 2206.00568, arXiv.org.
• Koen W. de Bock & Arno de Caigny, 2021. "Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling," Post-Print hal-03391564, HAL.
• 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 22-54, Swiss Finance Institute.
• 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 1108, Global Labor Organization (GLO).
• Petar Soric & Enric Monte & Salvador Torra & Oscar Claveria, 2022. ""Density forecasts of inflation using Gaussian process regression models"," IREA Working Papers 202210, University of Barcelona, Research Institute of Applied Economics, 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 2205.15056, arXiv.org.
• 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 2205.15320, arXiv.org.
• 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 2205.15853, arXiv.org, 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 113270, University Library of Munich, Germany.
• Devina Lakhtakia & Ross McKitrick, 2022. "Climate Change and Measures of Economic Growth:Solving the Spatial Mismatch Problem," Working Papers 2203, University of Guelph, Department of Economics and Finance.
• Syed Abul, Basher & Jobaida, Behtarin & Salim, Rashid, 2022. "Convergence across Subnational Regions of Bangladesh – What the Night Lights Data Say?," MPRA Paper 111963, University Library of Munich, Germany.
• Bolivar, Osmar, 2022. "Roads illuminate development: Using nightlight luminosity to assess the impact of transport infrastructure," Research Department working papers 1910, CAF Development Bank Of Latinamerica.
• Löw, Franziska, 2022. "Biased reporting by the German media?," Working Paper 193/2022, Helmut Schmidt University, Hamburg.
• Federico Fioravanti & Iyad Rahwan & Fernando Abel Tohm'e, 2022. "Classes of Aggregation Rules for Ethical Decision Making in Automated Systems," Papers 2206.05160, arXiv.org, revised Jun 2023.