Report NEP-BIG-2023-01-30

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:

• Jinan Zou & Qingying Zhao & Yang Jiao & Haiyao Cao & Yanxi Liu & Qingsen Yan & Ehsan Abbasnejad & Lingqiao Liu & Javen Qinfeng Shi, 2022. "Stock Market Prediction via Deep Learning Techniques: A Survey," Papers 2212.12717, arXiv.org, revised Feb 2023.
• Thegeya, Aaron & Mitterling, Thomas & Martinez Jr., Arturo & Bulan, Joseph & Durante, Ron Lester & Mag-atas, Jayzon, 2022. "Application of Machine Learning Algorithms on Satellite Imagery for Road Quality Monitoring: An Alternative Approach to Road Quality Surveys," ADB Economics Working Paper Series 675, Asian Development Bank.
• Wenzlaff, Karsten & Spaeth, Sebastian, 2022. "Smarter than humans? Validating how OpenAI's ChatGPT model explains crowdfunding, alternative finance and community finance," WiSo-HH Working Paper Series 75, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
• Margarita Leib & Nils Kobis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2023. "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," Papers 2301.01954, arXiv.org.
• Tim Johnson & Nick Obradovich, 2022. "Measuring an artificial intelligence agent's trust in humans using machine incentives," Papers 2212.13371, arXiv.org.
• Elias Asproudis & Cigdem Gedikli & Oleksandr Talavera & Okan Yilmaz, 2023. "Returns to Solar Panels in the Housing Market: A Meta Learner Approach," Discussion Papers 23-01, Department of Economics, University of Birmingham.
• Isaac Tamblyn & Tengkai Yu & Ian Benlolo, 2023. "fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems," Papers 2301.01807, arXiv.org.
• Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & Franc{c}ois Soup'e, 2022. "Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning," Papers 2212.10844, arXiv.org.
• Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
• Brunori, Paolo & Davillas, Apostolos & Jones, Andrew M. & Scarchilli, Giovanna, 2022. "Model-based recursive partitioning to estimate unfair health inequalities in the United Kingdom Household Longitudinal Study," LSE Research Online Documents on Economics 117404, London School of Economics and Political Science, LSE Library.
• Salomo Hirvonen & Maarit Lassander & Lauri Sääksvuori & Janne Tukiainen, 2023. "Who is mobilized to vote by short text messages? Evidence from a nationwide field experiment with young voters," Discussion Papers 157, Aboa Centre for Economics.
• Huy^en Pham & Xavier Warin, 2022. "Mean-field neural networks-based algorithms for McKean-Vlasov control problems ," Papers 2212.11518, arXiv.org, revised Mar 2024.
• Matteo Burzoni & Alessandro Doldi & Enea Monzio Compagnoni, 2022. "Risk Sharing with Deep Neural Networks," Papers 2212.11752, arXiv.org, revised Jun 2023.
• Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022. "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series 10184, CESifo.
• Ayush Patnaik & Ajay Shah & Susan Thomas, 2022. "Foundations for nighttime lights data analysis," Working Papers 19, xKDR.
• Marco Battaglini & Luigi Guiso & Chiara Lacava & Douglas L. Miller & Eleonora Patacchini, 2022. "Refining Public Policies with Machine Learning: The Case of Tax Auditing," NBER Working Papers 30777, National Bureau of Economic Research, Inc.
• Arnault Pachot, 2022. "Deep Learning on time-variant Product Space," Post-Print hal-03883391, HAL.
• Yolande Piris & Anne-Cécile Gay, 2021. "Customer satisfaction and natural language processing," Post-Print hal-03110702, HAL.
• Ida Nervik Hjelseth & Arvid Raknerud & Bjørn H. Vatne, 2022. "A bankruptcy probability model for assessing credit risk on corporate loans with automated variable selection," Working Paper 2022/7, Norges Bank.
• Akter, Sonia & Fauzia, Talitha & Pundit, Madhavi & Schroder, Marcel, 2022. "A Gender-Specific Earthquake Recovery Assessment Using Administrative and Satellite Data: The Case of Indonesia’s 2016 Aceh Earthquake," ADB Economics Working Paper Series 674, Asian Development Bank, revised 07 Feb 2023.