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 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:

• Tetiana Yukhymenko, 2021. "Role of the Media in the Inflation Expectation Formation Process," IHEID Working Papers 13-2021, Economics Section, The Graduate Institute of International Studies.
• Jacques Bughin & Michele Cincera & Dorota Reykowska & Rafal Ohme, 2021. "Big Data is Decision Science: the Case of Covid-19 Vaccination," Working Papers TIMES² 2021-047, ULB -- Universite Libre de Bruxelles.
• Chaturvedi, Sugat & Mahajan, Kanika & Siddique, Zahra, 2021. "Words Matter: Gender, Jobs and Applicant Behavior," IZA Discussion Papers 14497, Institute of Labor Economics (IZA).
• Woodin, Sarah L., 2020. "SUITCEYES Scoping Report on Law and Policy on Deafblindness, Disability and New Technologies: United Kingdom," SocArXiv uv5fe, Center for Open Science.
• Dong-Young Lim, 2021. "A Neural Frequency-Severity Model and Its Application to Insurance Claims," Papers 2106.10770, arXiv.org, revised Feb 2024.
• Francesca Micocci & Armando Rungi, 2021. "Predicting Exporters with Machine Learning," Papers 2107.02512, arXiv.org, revised Sep 2022.
• Ofori, Isaac K, 2021. "Catching The Drivers of Inclusive Growth In Sub-Saharan Africa: An Application of Machine Learning," MPRA Paper 108622, University Library of Munich, Germany.
• 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 108663, University Library of Munich, Germany, 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 315, Leibniz Institute for Financial Research SAFE, revised 2022.
• Paolina C. Medina & Michaela Pagel, 2021. "Does Saving Cause Borrowing?," NBER Working Papers 28956, National Bureau of Economic Research, Inc.
• 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-03262208, HAL.
• Bernard Lapeyre & Jérôme Lelong, 2021. "Neural network regression for Bermudan option pricing," Post-Print hal-02183587, HAL.
• 'Agoston Reguly, 2021. "Heterogeneous Treatment Effects in Regression Discontinuity Designs," Papers 2106.11640, arXiv.org, revised Oct 2021.
• Mimansa Rana & Nanxiang Mao & Ming Ao & Xiaohui Wu & Poning Liang & Matloob Khushi, 2021. "Clustering and attention model based for intelligent trading," Papers 2107.06782, arXiv.org, revised Aug 2021.
• Matthieu Garcin & Samuel Stephan, 2021. "Credit scoring using neural networks and SURE posterior probability calibration," Papers 2107.07206, arXiv.org, revised Jan 2025.
• Sung Jae Jun & Sokbae (Simon) Lee, 2020. "Causal inference in case-control studies," CeMMAP working papers CWP19/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Stephen Sheppard, 2021. "Image Content, Complexity, and the Market Value of Art," Department of Economics Working Papers 2021-08, Department of Economics, Williams College.
• 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 2107.02739, arXiv.org, 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 2107.03926, arXiv.org.
• 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 2107.03299, arXiv.org.
• Mahdi Ebrahimi Kahou & Jesús Fernández-Villaverde & Jesse Perla & Arnav Sood, 2021. "Exploiting Symmetry in High-Dimensional Dynamic Programming," CESifo Working Paper Series 9161, CESifo.
• Ayse Sinem Uysal & Xiaoyue Li & John M. Mulvey, 2021. "End-to-End Risk Budgeting Portfolio Optimization with Neural Networks," Papers 2107.04636, arXiv.org.
• Mahdi Ebrahimi Kahou & Jesús Fernández-Villaverde & Jesse Perla & Arnav Sood, 2021. "Exploiting Symmetry in High-Dimensional Dynamic Programming," NBER Working Papers 28981, National Bureau of Economic Research, Inc.
• Agyemang, Felix & Fox, Sean & Memon, Rashid, 2021. "Mapping urban living standards in developing countries with energy consumption data," SocArXiv razb2, Center for Open Science.
• 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 858, Department of Economics, University of Siena.
• Stephen Hansen & Tejas Ramdas & Raffaella Sadun & Joe Fuller, 2021. "The Demand for Executive Skills," NBER Working Papers 28959, National Bureau of Economic Research, Inc.
• Wei Dai & Yuan An & Wen Long, 2021. "Price change prediction of ultra high frequency financial data based on temporal convolutional network," Papers 2107.00261, arXiv.org.