Report NEP-BIG-2023-07-17

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:

• Zihan Chen & Lei Nico Zheng & Cheng Lu & Jialu Yuan & Di Zhu, 2023. "ChatGPT Informed Graph Neural Network for Stock Movement Prediction," Papers 2306.03763, arXiv.org, revised Sep 2023.
• Dylan Brewer & Alyssa Carlson, 2023. "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers 2310, Department of Economics, University of Missouri.
• Jan-Peter Kucklick & Jennifer Priefer & Daniel Beverungen & Oliver Müller, 2023. "Elucidating the Predictive Power of Search and Experience Qualities for Pricing of Complex Goods – A Machine Learning-based Study on Real Estate Appraisal," Working Papers Dissertations 112, Paderborn University, Faculty of Business Administration and Economics.
• Item repec:ags:aaea22:335782 is not listed on IDEAS anymore

• Michael Cafarella & Gabriel Ehrlich & Tian Gao & John C. Haltiwanger & Matthew D. Shapiro & Laura Zhao, 2023. "Using Machine Learning to Construct Hedonic Price Indices," NBER Working Papers 31315, National Bureau of Economic Research, Inc.
• von Schenk, Alicia & Klockmann, Victor & Bonnefon, Jean-François & Rahwan, Iyad & Köbis, Nils, 2023. "Lie-detection algorithms attract few users but vastly increase accusation rates," IAST Working Papers 23-155, Institute for Advanced Study in Toulouse (IAST).
• von Schenk, Alicia & Klockmann, Victor & Bonnefon, Jean-François & Rahwan, Iyad & Köbis, Nils, 2023. "Lie-detection algorithms attract few users but vastly increase accusation rates," TSE Working Papers 23-1448, Toulouse School of Economics (TSE).
• Lubdhak Mondal & Udeshya Raj & Abinandhan S & Began Gowsik S & Sarwesh P & Abhijeet Chandra, 2023. "Causality between Sentiment and Cryptocurrency Prices," Papers 2306.05803, arXiv.org.
• Item repec:ags:aaea22:335809 is not listed on IDEAS anymore

• Philippe Goulet Coulombe & Maximilian Goebel, 2023. "Maximally Machine-Learnable Portfolios," Papers 2306.05568, arXiv.org, revised Apr 2024.
• Hendriks, Patrick & Sturm, Timo & Olt, Christian M. & Buxmann, Peter, 2023. "The Impact of Human-Artificial Intelligence Partnerships on Organizational Learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138376, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Shadi Haj-Yahia & Omar Mansour & Tomer Toledo, 2023. "Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models," Papers 2306.00016, arXiv.org.
• Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023. "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia 1241, Banco de la Republica de Colombia.
• Andr'es Garc'ia-Medina & Benito Rodrigu'ez-Camejo, 2023. "Random matrix theory and nested clustered portfolios on Mexican markets," Papers 2306.05667, arXiv.org.
• Sebastian Galiani & Ramiro H. Gálvez & Ian Nachman, 2023. "Specialization Trends in Economics Research: A Large-Scale Study Using Natural Language Processing and Citation Analysis," NBER Working Papers 31295, National Bureau of Economic Research, Inc.
• Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Papers 2305.19921, arXiv.org.
• Marica Valente & Timm Gries & Lorenzo Trapani, 2023. "Informal employment from migration shocks," Working Papers 2023-09, Faculty of Economics and Statistics, Universität Innsbruck.
• David Hirshleifer & Dat Mai & Kuntara Pukthuanthong, 2023. "War Discourse and the Cross Section of Expected Stock Returns," NBER Working Papers 31348, National Bureau of Economic Research, Inc.
• Mehler, Maren F. & Vetter, Oliver A., 2023. "How Much Are Machine Assistants Worth? Willingness to Pay for Machine Learning-Based Software Testing," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138317, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Pranjal Rawat, 2023. "Algorithmic Collusion in Auctions: Evidence from Controlled Laboratory Experiments," Papers 2306.09437, arXiv.org, revised Jan 2025.
• Saka, Orkun & Eichengreen, Barry & Aksoy, Cevat, 2022. "Epidemic exposure, financial technology, and the digital divide," LSE Research Online Documents on Economics 118871, London School of Economics and Political Science, LSE Library.
• Mihnea Constantinescu, 2023. "Sparse Warcasting," Working Papers 01/2023, National Bank of Ukraine.
• Tania Babina & Anastassia Fedyk & Alex X. He & James Hodson, 2023. "Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition," NBER Working Papers 31325, National Bureau of Economic Research, Inc.
• Grebe, Moritz & Kandemir, Sinem & Tillmann, Peter, 2023. "Uncertainty about the war in Ukraine: Measurement and effects on the German business cycle," IMFS Working Paper Series 184, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
• Hongyang Yang & Xiao-Yang Liu & Christina Dan Wang, 2023. "FinGPT: Open-Source Financial Large Language Models," Papers 2306.06031, arXiv.org.
• Alain Naef, 2023. "Blowing against the Wind? A Narrative Approach to Central Bank Foreign Exchange Intervention," Working papers 911, Banque de France.
• Marlène Koffi & Matt Marx, 2023. "Cassatts in the Attic," NBER Working Papers 31316, National Bureau of Economic Research, Inc.
• K. Peren Arin & Efstathios Polyzos & Marcel Thum, 2023. "The Populist Voter: A Machine Learning Approach for the Individual Characteristics," CESifo Working Paper Series 10472, CESifo.
• Zazueta, Jorge & Zazueta-Hernández, Jorge & Heredia, Andrea Chavez, 2023. "Support Vector Machines and Bankruptcy Prediction," SocArXiv 7z24k, Center for Open Science.
• De Marzo, Giordano, & Mathew, Nanditha, & Sbardella, Angelica,, 2023. "Who creates jobs with broad skillsets? the crucial role of firms," ILO Working Papers 995271691902676, International Labour Organization.
• Albanesi, Stefania & Silva, António Dias da & Jimeno, Juan F. & Lamo, Ana & Wabitsch, Alena, 2023. "New Technologies and Jobs in Europe," IZA Discussion Papers 16227, Institute of Labor Economics (IZA).
• Shumin Ma & Zhiri Yuan & Qi Wu & Yiyan Huang & Xixu Hu & Cheuk Hang Leung & Dongdong Wang & Zhixiang Huang, 2023. "Deep into The Domain Shift: Transfer Learning through Dependence Regularization," Papers 2305.19499, arXiv.org.
• Mukherjee, Krishnendu, 2023. "Layer: An Alternative Approach To Solve Large Capacitated Vehicle Routing Problem with Time Window Using AI and Exact Method," MPRA Paper 117513, University Library of Munich, Germany, revised 12 Jun 2023.
• Alvaro Arroyo & Alvaro Cartea & Fernando Moreno-Pino & Stefan Zohren, 2023. "Deep Attentive Survival Analysis in Limit Order Books: Estimating Fill Probabilities with Convolutional-Transformers," Papers 2306.05479, arXiv.org.
• Lifan Zhao & Shuming Kong & Yanyan Shen, 2023. "DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting," Papers 2306.09862, arXiv.org, revised Apr 2024.
• Jiti Gao & Fei Liu & Bin Peng & Yanrong Yang, 2023. "Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy," Papers 2306.05593, arXiv.org, revised Jul 2024.
• Barham, Tania & Cadena, Brian C. & Turner, Patrick S, 2023. "Taking a Chance on Workers: Evidence on the Effects and Mechanisms of Subsidized Employment from an RCT," IZA Discussion Papers 16221, Institute of Labor Economics (IZA).
• Shaun D'Souza & Dheeraj Shah & Amareshwar Allati & Parikshit Soni, 2023. "Making forecasting self-learning and adaptive -- Pilot forecasting rack," Papers 2306.07305, arXiv.org.
• Roland-Holst, David & Karymshakov, Kamalbek & Sulaimanova, Burulcha & Sultakeev, Kadyrbek, 2022. "ICT, Online Search Behavior, and Remittances: Evidence from the Kyrgyz Republic," ADBI Working Papers 1348, Asian Development Bank Institute.
• Ruihua Ruan & Emmanuel Bacry & Jean-Franc{c}ois Muzy, 2023. "Liquidity takers behavior representation through a contrastive learning approach," Papers 2306.05987, arXiv.org, revised Jul 2023.
• Item repec:cte:wsrepe:37746 is not listed on IDEAS anymore

• Lorenzo Bretscher & Jesús Fernández-Villaverde & Simon Scheidegger, 2023. "Ricardian Business Cycles," Swiss Finance Institute Research Paper Series 23-43, Swiss Finance Institute.
• Abushama, Hala & Guo, Zhe & Siddig, Khalid & Kirui, Oliver K. & Abay, Kibrom A. & You, Liangzhi, 2023. "Monitoring indicators of economic activity in Sudan amidst ongoing conflict using satellite data [in Arabic]," Sudan SSP working papers 7a, International Food Policy Research Institute (IFPRI).
• Katz, Lindsay & Chong, Michael & Alexander, Monica, 2023. "Measuring short-term mobility patterns in North America using Facebook Advertising data, with an application to adjusting Covid-19 mortality rates," SocArXiv bev4p, Center for Open Science.
• Nicolas Kusz & Jean-François Lemoine, 2023. "Voice app (Google Actions and Alexa Skills) : the influence of the assistant's voice on users," Post-Print hal-04108783, HAL.