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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 (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:
- Thomas Philippon, 2020, "On fintech and financial inclusion," BIS Working Papers, Bank for International Settlements, number 841, Feb.
- Idris Kharroubi & Thomas Lim & Xavier Warin, 2020, "Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process," Working Papers, HAL, number hal-02468354, Feb.
- 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, Federal Reserve Bank of Boston, number 19-16, Oct, DOI: 10.29412/res.wp.2019.16.
- Zheng, Hannan & Schwenkler, Gustavo, 2020, "The network of firms implied by the news," ESRB Working Paper Series, European Systemic Risk Board, number 108, Feb.
- Brieland, Stephanie & Töpfer, Marina, 2020, "The gender pay gap revisited: Does machine learning offer new insights?," Discussion Papers, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics, number 111.
- 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), Bank of Italy, Economic Research and International Relations Area, number 544, Feb.
- Ahmet Murat Ozbayoglu & Mehmet Ugur Gudelek & Omer Berat Sezer, 2020, "Deep Learning for Financial Applications : A Survey," Papers, arXiv.org, number 2002.05786, Feb.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2019, "Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium," IZA Discussion Papers, Institute of Labor Economics (IZA), number 12875, Dec.
- 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, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics, number 130, DOI: 10.15496/publikation-39286.
- 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, University Library of Munich, Germany, number 98534, Feb.
- Momin M. Malik, 2020, "A Hierarchy of Limitations in Machine Learning," Papers, arXiv.org, number 2002.05193, Feb, revised Feb 2020.
- Mounu Prem & Santiago Saavedra & Juan F. Vargas, 2019, "End-of-Conflict Deforestation: Evidence from Colombia’s Peace Agreement," HiCN Working Papers, Households in Conflict Network, number 288, Jan.
- Rising Odegua, 2020, "Predicting Bank Loan Default with Extreme Gradient Boosting," Papers, arXiv.org, number 2002.02011, Jan.
- 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, arXiv.org, number 2002.05780, Feb.
- 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, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University, number 659.
- Dmitry Efimov & Di Xu & Luyang Kong & Alexey Nefedov & Archana Anandakrishnan, 2020, "Using generative adversarial networks to synthesize artificial financial datasets," Papers, arXiv.org, number 2002.02271, Feb.
- Andrew Bennett & Nathan Kallus, 2020, "Efficient Policy Learning from Surrogate-Loss Classification Reductions," Papers, arXiv.org, number 2002.05153, Feb.
- Item repec:cen:wpaper:20-3 is not listed on IDEAS anymore
- Bluhm, Benjamin & Cutura, Jannic, 2020, "Econometrics at scale: Spark up big data in economics," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 266, DOI: 10.2139/ssrn.3226976.
- Item repec:imf:imfwpa:20/7 is not listed on IDEAS anymore
- 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, The World Bank, number 8972, Aug.