Report NEP-BIG-2020-03-02

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.

Subscribe to this report: email, RSS, or Mastodon.

Other reports in NEP-BIG

The following items were announced in this report:

• Thomas Philippon, 2020. "On fintech and financial inclusion," BIS Working Papers 841, Bank for International Settlements.
• Idris Kharroubi & Thomas Lim & Xavier Warin, 2020. "Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process," Working Papers hal-02468354, HAL.
• Charles B. Perkins & J. Christina Wang, 2019. "How Magic a Bullet Is Machine Learning for Credit Analysis? An Exploration with FinTech Lending Data," Working Papers 19-16, Federal Reserve Bank of Boston.
• Zheng, Hannan & Schwenkler, Gustavo, 2020. "The network of firms implied by the news," ESRB Working Paper Series 108, European Systemic Risk Board.
• Brieland, Stephanie & Töpfer, Marina, 2020. "The gender pay gap revisited: Does machine learning offer new insights?," Discussion Papers 111, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
• Francesco Decarolis & Cristina Giorgiantonio, 2020. "Corruption red flags in public procurement: new evidence from Italian calls for tenders," Questioni di Economia e Finanza (Occasional Papers) 544, Bank of Italy, Economic Research and International Relations Area.
• Ahmet Murat Ozbayoglu & Mehmet Ugur Gudelek & Omer Berat Sezer, 2020. "Deep Learning for Financial Applications : A Survey," Papers 2002.05786, arXiv.org.
• Cockx, Bart & Lechner, Michael & Bollens, Joost, 2019. "Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium," IZA Discussion Papers 12875, Institute of Labor Economics (IZA).
• Grammig, Joachim & Hanenberg, Constantin & Schlag, Christian & Sönksen, Jantje, 2020. "Diverging roads: Theory-based vs. machine learning-implied stock risk premia," University of Tübingen Working Papers in Business and Economics 130, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
• Sen, Sugata & Sengupta, Soumya, 2020. "Misleading Estimation of Backwardness through NITI Aayog SDG index: A study to find loopholes and construction of alternative index with the help of Artificial Intelligence," MPRA Paper 98534, University Library of Munich, Germany.
• Momin M. Malik, 2020. "A Hierarchy of Limitations in Machine Learning," Papers 2002.05193, arXiv.org, revised Feb 2020.
• Mounu Prem & Santiago Saavedra & Juan F. Vargas, 2019. "End-of-Conflict Deforestation: Evidence from Colombia’s Peace Agreement," HiCN Working Papers 288, Households in Conflict Network.
• Rising Odegua, 2020. "Predicting Bank Loan Default with Extreme Gradient Boosting," Papers 2002.02011, arXiv.org.
• Yunan Ye & Hengzhi Pei & Boxin Wang & Pin-Yu Chen & Yada Zhu & Jun Xiao & Bo Li, 2020. "Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States," Papers 2002.05780, arXiv.org.
• Francesco Giavazzi & Felix Iglhaut & Giacomo Lemoli & Gaia Rubera, 2020. "Terrorist Attacks, Cultural Incidents and the Vote for Radical Parties: Analyzing Text from Twitter," Working Papers 659, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
• Dmitry Efimov & Di Xu & Luyang Kong & Alexey Nefedov & Archana Anandakrishnan, 2020. "Using generative adversarial networks to synthesize artificial financial datasets," Papers 2002.02271, arXiv.org.
• Andrew Bennett & Nathan Kallus, 2020. "Efficient Policy Learning from Surrogate-Loss Classification Reductions," Papers 2002.05153, arXiv.org.
• J. Daniel Kim & Kristin McCue, 2020. "Matching State Business Registration Records to Census Business Data," Working Papers 20-3, Center for Economic Studies, U.S. Census Bureau.
• Bluhm, Benjamin & Cutura, Jannic, 2020. "Econometrics at scale: Spark up big data in economics," SAFE Working Paper Series 266, Leibniz Institute for Financial Research SAFE.
• Ghada Fayad & Chengyu Huang & Yoko Shibuya & Peng Zhao, 2020. "How Do Member Countries Receive IMF Policy Advice: Results from a State-of-the-art Sentiment Index," IMF Working Papers 20/7, International Monetary Fund.
• Qader,Sarchil & Lefebvre,Veronique & Ninneman,Amy & Himelein,Kristen & Pape,Utz Johann & Bengtsson,Linus & Tatem,Andy & Bird,Tomas, 2019. "A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames : A Case Study in Somalia," Policy Research Working Paper Series 8972, The World Bank.