Report NEP-BIG-2021-08-23

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:

• Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
• Gerardin Mathilde, & Ranvier Martial., 2021. "Enrichment of the Banque de France’s monthly business survey: lessons from textual analysis of business leaders’ comments," Working papers 821, Banque de France.
• Anjali Adukia & Alex Eble & Emileigh Harrison & Hakizumwami Birali Runesha & Teodora Szasz, 2021. "What We Teach About Race and Gender: Representation in Images and Text of Children’s Books," NBER Working Papers 29123, National Bureau of Economic Research, Inc.
• Subhadeep Mukhopadhyay, 2021. "InfoGram and Admissible Machine Learning," Papers 2108.07380, arXiv.org, revised Aug 2021.
• Tugce Karatas & Ali Hirsa, 2021. "Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques," Papers 2108.02838, arXiv.org.
• Liang Zeng & Lei Wang & Hui Niu & Ruchen Zhang & Ling Wang & Jian Li, 2021. "Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling," Papers 2107.11972, arXiv.org, revised Jul 2024.
• Pumplun, Luisa & Fecho, Mariska & Wahl, Nihal & Peters, Felix & Buxmann, Peter, 2021. "Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: A Qualitative Interview Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 127993, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• A. K. M. Amanat Ullah & Fahim Imtiaz & Miftah Uddin Md Ihsan & Md. Golam Rabiul Alam & Mahbub Majumdar, 2021. "Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction," Papers 2107.13148, arXiv.org, revised Aug 2023.
• Huseyin Gurkan & Francis de Véricourt, 2020. "Contracting, pricing, and data collection under the AI flywheel effect," ESMT Research Working Papers ESMT-20-01_R3, ESMT European School of Management and Technology, revised 17 Aug 2021.
• Steve J. Bickley & Benno Torgler, 2021. "Cognitive Architectures for Artificial Intelligence Ethics," CREMA Working Paper Series 2021-27, Center for Research in Economics, Management and the Arts (CREMA).
• Allen Hu & Song Ma, 2021. "Persuading Investors: A Video-Based Study," NBER Working Papers 29048, National Bureau of Economic Research, Inc.
• Alexander Trott & Sunil Srinivasa & Douwe van der Wal & Sebastien Haneuse & Stephan Zheng, 2021. "Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist," Papers 2108.02904, arXiv.org.
• Hamza Saad & Nagendra Nagarur & Abdulrahman Shamsan, 2021. "Analysis of Data Mining Process for Improvement of Production Quality in Industrial Sector," Papers 2108.07615, arXiv.org.
• Kee, Shaira Limson & Garganera, John Patrick & Maravilla, Nicholle Mae Amor & Garganera, Wilbert & Fermin, Jamie Ledesma & AlDahoul, Nouar & Karim, Hezerul Abdul & Tan, Myles Joshua, 2021. "Riding the Tide Toward the Digital Era: The Imminent Alliance of AI and Mental Health in the Philippines," OSF Preprints 3wg5p, Center for Open Science.
• Cédric Vernier & Denis Loeillet & Rallou Thomopoulos & Catherine Macombe, 2021. "Adoption of ICTs in Agri-Food Logistics: Potential and Limitations for Supply Chain Sustainability," Post-Print hal-03280502, HAL.
• Muhammed Taher Al-Mudafer & Benjamin Avanzi & Greg Taylor & Bernard Wong, 2021. "Stochastic loss reserving with mixture density neural networks," Papers 2108.07924, arXiv.org.
• Charlson, G., 2021. "Third-Degree Price Discrimination in the Age of Big Data," Cambridge Working Papers in Economics 2159, Faculty of Economics, University of Cambridge.
• Rui (Aruhan) Shi, 2021. "Learning from Zero: How to Make Consumption-Saving Decisions in a Stochastic Environment with an AI Algorithm," CESifo Working Paper Series 9255, CESifo.
• Raquel Fernández & Sahar Parsa, 2021. "Gay Politics Goes Mainstream: Democrats, Republicans, and Same-Sex Relationships," NBER Working Papers 29062, National Bureau of Economic Research, Inc.
• Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
• Geoff Boeing & Max Besbris & David Wachsmuth & Jake Wegmann, 2021. "Tilted Platforms: Rental Housing Technology and the Rise of Urban Big Data Oligopolies," Papers 2108.08229, arXiv.org.
• Stephen Coussens & Jann Spiess, 2021. "Improving Inference from Simple Instruments through Compliance Estimation," Papers 2108.03726, arXiv.org.
• Angelo M. Fasolo & Flávia M. Graminho & Saulo B. Bastos, 2021. "Seeing the Forest for the Trees: using hLDA models to evaluate communication in Banco Central do Brasil," Working Papers Series 555, Central Bank of Brazil, Research Department.