Report NEP-BIG-2021-01-11

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:

• Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Tinbergen Institute Discussion Papers 21-001/V, Tinbergen Institute.
• Akyildirim, Erdinc & Cepni, Oguzhan & Corbet, Shaen & Uddin, Gazi Salah, 2020. "Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning," Working Papers 20-2020, Copenhagen Business School, Department of Economics.
• Turan G. Bali & Amit Goyal & Dashan Huang & Fuwei Jiang & Quan Wen, 2020. "The Cross-Sectional Pricing of Corporate Bonds Using Big Data and Machine Learning," Swiss Finance Institute Research Paper Series 20-110, Swiss Finance Institute.
• Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020. "Machine Learning Advances for Time Series Forecasting," Papers 2012.12802, arXiv.org, revised Apr 2021.
• Paul Waddell & Arezoo Besharati-Zadeh, 2020. "A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area," Papers 2011.14924, arXiv.org.
• Katsuya Ito & Kentaro Minami & Kentaro Imajo & Kei Nakagawa, 2020. "Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction," Papers 2012.10215, arXiv.org.
• Cyril Verluise & Gabriele Cristelli & Kyle Higham & Gaetan de Rassenfosse, 2020. "The Missing 15 Percent of Patent Citations," Working Papers 13, Chair of Science, Technology, and Innovation Policy.
• Riu Naito & Toshihiro Yamada, 2020. "A machine learning solver for high-dimensional integrals: Solving Kolmogorov PDEs by stochastic weighted minimization and stochastic gradient descent through a high-order weak approximation scheme of ," Papers 2012.12346, arXiv.org, revised Feb 2021.
• Breuer, Wolfgang & Steininger, Bertram, 2020. "Recent Trends in Real Estate Research: A Comparison of Recent Working Papers and Publications using Machine Learning Algorithms," Working Paper Series 20/15, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
• Drydakis, Nick, 2020. "Mobile Applications Aiming to Facilitate Immigrants' Societal Integration and Overall Level of Integration, Health and Mental Health: Does Artificial Intelligence Enhance Outcomes?," IZA Discussion Papers 13933, Institute of Labor Economics (IZA).
• Olivier Dessaint & Thierry Foucault & Laurent Frésard, 2020. "Does Big Data Improve Financial Forecasting? The Horizon Effect," Swiss Finance Institute Research Paper Series 20-106, Swiss Finance Institute.
• Xunyi Wang & Reza Mousavi & Yili Hong, 2020. "The Unintended Consequences of Stay-at-Home Policies on Work Outcomes: The Impacts of Lockdown Orders on Content Creation," Papers 2011.15068, arXiv.org.
• Marc Chataigner & Stephane Crepey & Jiang Pu, 2020. "Nowcasting Networks," Papers 2011.13687, arXiv.org.
• Nikita Gusarov & Amirreza Talebijamalabad & Iragaël Joly, 2020. "Exploration of model performances in the presence of heterogeneous preferences and random effects utilities awareness," Working Papers hal-03019739, HAL.
• Matteo Sostero, 2020. "Automation and Robots in Services: Review of Data and Taxonomy," JRC Working Papers on Labour, Education and Technology 2020-14, Joint Research Centre.
• Cevat Giray Aksoy & Panu Poutvaara & Felicitas Schikora, 2020. "First Time Around: Local Conditions and Multi-dimensional Integration of Refugees," SOEPpapers on Multidisciplinary Panel Data Research 1115, DIW Berlin, The German Socio-Economic Panel (SOEP).
• Lundborg, Martin & Märkel, Christian & Schrade-Grytsenko, Lisa & Stamm, Peter, 2019. "Künstliche Intelligenz im Telekommunikationssektor – Bedeutung, Entwicklungsperspektiven und regulatorische Implikationen," WIK Discussion Papers 453, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.