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Report NEP-BIG-2021-07-19
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:
- Tetiana Yukhymenko, 2021, "Role of the Media in the Inflation Expectation Formation Process," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 13-2021, Jun.
- Jacques Bughin & Michele Cincera & Dorota Reykowska & Rafal Ohme, 2021, "Big Data is Decision Science: the Case of Covid-19 Vaccination," Working Papers TIMES², ULB -- Universite Libre de Bruxelles, number 2021-047, Jul.
- Chaturvedi, Sugat & Mahajan, Kanika & Siddique, Zahra, 2021, "Words Matter: Gender, Jobs and Applicant Behavior," IZA Discussion Papers, IZA Network @ LISER, number 14497, Jun.
- Woodin, Sarah L., 2020, "SUITCEYES Scoping Report on Law and Policy on Deafblindness, Disability and New Technologies: United Kingdom," SocArXiv, Center for Open Science, number uv5fe, May, DOI: 10.31219/osf.io/uv5fe.
- Dong-Young Lim, 2021, "A Neural Frequency-Severity Model and Its Application to Insurance Claims," Papers, arXiv.org, number 2106.10770, Jun, revised Mar 2025.
- Francesca Micocci & Armando Rungi, 2021, "Predicting Exporters with Machine Learning," Papers, arXiv.org, number 2107.02512, Jul, revised Sep 2022.
- Ofori, Isaac K, 2021, "Catching The Drivers of Inclusive Growth In Sub-Saharan Africa: An Application of Machine Learning," MPRA Paper, University Library of Munich, Germany, number 108622.
- Costantiello, Alberto & Laureti, Lucio & Leogrande, Angelo, 2021, "Estimation and Machine Learning Prediction of Imports of Goods in European Countries in the Period 2010-2019," MPRA Paper, University Library of Munich, Germany, number 108663, Jul, revised 05 Jul 2021.
- Bauer, Kevin & von Zahn, Moritz & Hinz, Oliver, 2022, "Expl(AI)ned: The impact of explainable Artificial Intelligence on cognitive processes," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 315, revised 2022.
- Paolina C. Medina & Michaela Pagel, 2021, "Does Saving Cause Borrowing? Implications for the Co-Holding Puzzle," NBER Working Papers, National Bureau of Economic Research, Inc, number 28956, Jun.
- Antoine Ferré & Guillaume de Certaines & Jérôme Cazelles & Tancrède Cohet & Arash Farnoosh & Frédéric Lantz, 2021, "Short-term electricity price forecastingmodels comparative analysis : Machine Learning vs. Econometrics," Working Papers, HAL, number hal-03262208, May.
- Bernard Lapeyre & Jérôme Lelong, 2021, "Neural network regression for Bermudan option pricing," Post-Print, HAL, number hal-02183587, Sep, DOI: 10.1515/mcma-2021-2091.
- 'Agoston Reguly, 2021, "Discovering Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers, arXiv.org, number 2106.11640, Jun, revised Aug 2025.
- Mimansa Rana & Nanxiang Mao & Ming Ao & Xiaohui Wu & Poning Liang & Matloob Khushi, 2021, "Clustering and attention model based for intelligent trading," Papers, arXiv.org, number 2107.06782, Jul, revised Aug 2021.
- Matthieu Garcin & Samuel Stephan, 2021, "Credit scoring using neural networks and SURE posterior probability calibration," Papers, arXiv.org, number 2107.07206, Jul, revised Jan 2025.
- Sung Jae Jun & Sokbae (Simon) Lee, 2020, "Causal inference in case-control studies," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP19/20, May.
- Stephen Sheppard, 2021, "Image Content, Complexity, and the Market Value of Art," Department of Economics Working Papers, Department of Economics, Williams College, number 2021-08, Jul, DOI: 10.36934/wecon:2021-08.
- Sukjin Han & Eric H. Schulman & Kristen Grauman & Santhosh Ramakrishnan, 2021, "Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts," Papers, arXiv.org, number 2107.02739, Jul, revised Mar 2024.
- Rian Dolphin & Barry Smyth & Yang Xu & Ruihai Dong, 2021, "Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities," Papers, arXiv.org, number 2107.03926, Jul.
- Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021, "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers, arXiv.org, number 2107.03299, Jul.
- Mahdi Ebrahimi Kahou & Jesús Fernández-Villaverde & Jesse Perla & Arnav Sood, 2021, "Exploiting Symmetry in High-Dimensional Dynamic Programming," CESifo Working Paper Series, CESifo, number 9161.
- Ayse Sinem Uysal & Xiaoyue Li & John M. Mulvey, 2021, "End-to-End Risk Budgeting Portfolio Optimization with Neural Networks," Papers, arXiv.org, number 2107.04636, Jul.
- Mahdi Ebrahimi Kahou & Jesús Fernández-Villaverde & Jesse Perla & Arnav Sood, 2021, "Exploiting Symmetry in High-Dimensional Dynamic Programming," NBER Working Papers, National Bureau of Economic Research, Inc, number 28981, Jul.
- Agyemang, Felix & Fox, Sean & Memon, Rashid, 2021, "Mapping urban living standards in developing countries with energy consumption data," SocArXiv, Center for Open Science, number razb2, Jun, DOI: 10.31219/osf.io/razb2.
- Francesco Sarracino & Talita Greyling & Kelsey J. O'Connor & Chiara Peroni & Stephanie Rossouw, 2021, "Trust predicts compliance to Covid-19 containment policies: evidence from ten countries using big data," Department of Economics University of Siena, Department of Economics, University of Siena, number 858, Jun.
- Stephen Hansen & Tejas Ramdas & Raffaella Sadun & Joe Fuller, 2021, "The Demand for Executive Skills," NBER Working Papers, National Bureau of Economic Research, Inc, number 28959, Jun.
- Wei Dai & Yuan An & Wen Long, 2021, "Price change prediction of ultra high frequency financial data based on temporal convolutional network," Papers, arXiv.org, number 2107.00261, Jul.