Report NEP-BIG-2024-04-29

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:

• Ardyn Nordstrom & Morgan Nordstrom & Matthew D. Webb, 2024. "Using Images as Covariates: Measuring Curb Appeal with Deep Learning," Papers 2403.19915, arXiv.org.
• Qishuo Cheng, 2024. "Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning," Papers 2404.01624, arXiv.org.
• Leogrande, Angelo, 2024. "Knowledge Workers across the Italian Regions," SocArXiv 4bv6a, Center for Open Science.
• Enzo Brox & Michael Lechner, 2024. "Teamwork and Spillover Effects in Performance Evaluations," Papers 2403.15200, arXiv.org.
• Holtemöller, Oliver & Kozyrev, Boris, 2024. "Forecasting economic activity using a neural network in uncertain times: Monte Carlo evidence and application to the German GDP," IWH Discussion Papers 6/2024, Halle Institute for Economic Research (IWH).
• Diakonova, M. & Molina, L. & Mueller, H. & Pérez, J. J. & Rauh, C., 2024. "The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting," Janeway Institute Working Papers 2413, Faculty of Economics, University of Cambridge.
• Diakonova, M. & Molina, L. & Mueller, H. & Pérez, J. J. & Rauh, C., 2024. "The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting," Cambridge Working Papers in Economics 2418, Faculty of Economics, University of Cambridge.
• Jiafu An & Difang Huang & Chen Lin & Mingzhu Tai, 2024. "Measuring Gender and Racial Biases in Large Language Models," Papers 2403.15281, arXiv.org.
• Divyanshu Daiya & Monika Yadav & Harshit Singh Rao, 2024. "DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models," Papers 2403.14063, arXiv.org.
• Soheila Khajoui & Saeid Dehyadegari & Sayyed Abdolmajid Jalaee, 2024. "Predicting the impact of e-commerce indices on international trade in Iran and other selected members of the Organization for Economic Co-operation and Development (OECD) by using the artificial intel," Papers 2403.20310, arXiv.org.
• Florian Krach & Josef Teichmann & Hanna Wutte, 2024. "Robust Utility Optimization via a GAN Approach," Papers 2403.15243, arXiv.org.
• Tetiana Yukhymenko & Oleh Sorochan, 2024. "Impact of the Central Bank's Communication on Macrofinancial Outcomes," Working Papers 01/2024, National Bank of Ukraine.
• Dai, Yongsheng & Wang, Hui & Rafferty, Karen & Spence, Ivor & Quinn, Barry, 2024. "TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection from Different Perspectives," QBS Working Paper Series 2024/03, Queen's University Belfast, Queen's Business School.
• S. Di Luozzo & A. Fronzetti Colladon & M. M. Schiraldi, 2024. "Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining," Papers 2403.17546, arXiv.org.
• Boming Ning & Kiseop Lee, 2024. "Advanced Statistical Arbitrage with Reinforcement Learning," Papers 2403.12180, arXiv.org.
• Kaushalya Kularatnam & Tania Stathaki, 2024. "Detecting and Triaging Spoofing using Temporal Convolutional Networks," Papers 2403.13429, arXiv.org.
• Joachim Wagner, 2024. "Digitalization Intensity and Extensive Margins of Exports in Manufacturing Firms from 27 EU Countries - Evidence from Kernel-Regularized Least Squares Regression," Working Paper Series in Economics 428, University of Lüneburg, Institute of Economics.
• Rustam Jamilov & Alexandre Kohlhas & Oleksandr Talavera & Mao Zhang, 2024. "Granular Sentiments," Discussion Papers 2414, Centre for Macroeconomics (CFM).
• Alexander Berry & Elizabeth M. Maloney & David Neumark, 2024. "The Missing Link? Using LinkedIn Data to Measure Race, Ethnic, and Gender Differences in Employment Outcomes at Individual Companies," NBER Working Papers 32294, National Bureau of Economic Research, Inc.
• Taejin Park, 2024. "Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework," Papers 2403.19735, arXiv.org.