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 (Tom Coupe) issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

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, arXiv.org, number 2306.03763, May, revised Sep 2023.
• Dylan Brewer & Alyssa Carlson, 2023, "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers, Department of Economics, University of Missouri, number 2310, Jun.
• 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, Paderborn University, Faculty of Business Administration and Economics, number 112, Jun.
• 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, National Bureau of Economic Research, Inc, number 31315, Jun.
• 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, Institute for Advanced Study in Toulouse (IAST), number 23-155, Jun.
• 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, Toulouse School of Economics (TSE), number 23-1448, Jun.
• Lubdhak Mondal & Udeshya Raj & Abinandhan S & Began Gowsik S & Sarwesh P & Abhijeet Chandra, 2023, "Causality between Sentiment and Cryptocurrency Prices," Papers, arXiv.org, number 2306.05803, Jun.
• Item repec:ags:aaea22:335809 is not listed on IDEAS anymore

• Philippe Goulet Coulombe & Maximilian Goebel, 2023, "Maximally Machine-Learnable Portfolios," Papers, arXiv.org, number 2306.05568, Jun, 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), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138376, Jun.
• Shadi Haj-Yahia & Omar Mansour & Tomer Toledo, 2023, "Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models," Papers, arXiv.org, number 2306.00016, May.
• Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023, "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia, Banco de la Republica de Colombia, number 1241, Jun, DOI: 10.32468/be.1241.
• Andr'es Garc'ia-Medina & Benito Rodrigu'ez-Camejo, 2023, "Random matrix theory and nested clustered portfolios on Mexican markets," Papers, arXiv.org, number 2306.05667, Jun.
• 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, National Bureau of Economic Research, Inc, number 31295, Jun.
• Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023, "Deep Neural Network Estimation in Panel Data Models," Papers, arXiv.org, number 2305.19921, May.
• Marica Valente & Timm Gries & Lorenzo Trapani, 2023, "Informal employment from migration shocks," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2023-09, Sep.
• David Hirshleifer & Dat Mai & Kuntara Pukthuanthong, 2023, "War Discourse and the Cross Section of Expected Stock Returns," NBER Working Papers, National Bureau of Economic Research, Inc, number 31348, Jun.
• 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), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138317, Jun.
• Pranjal Rawat, 2023, "Designing Auctions when Algorithms Learn to Bid," Papers, arXiv.org, number 2306.09437, Jun, revised Mar 2026.
• Saka, Orkun & Eichengreen, Barry & Aksoy, Cevat, 2022, "Epidemic exposure, financial technology, and the digital divide," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118871, Apr.
• Mihnea Constantinescu, 2023, "Sparse Warcasting," Working Papers, National Bank of Ukraine, number 01/2023, Jun.
• Tania Babina & Anastassia Fedyk & Alex X. He & James Hodson, 2023, "Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition," NBER Working Papers, National Bureau of Economic Research, Inc, number 31325, Jun.
• 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, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 184.
• Hongyang Yang & Xiao-Yang Liu & Christina Dan Wang, 2023, "FinGPT: Open-Source Financial Large Language Models," Papers, arXiv.org, number 2306.06031, Jun, revised Nov 2025.
• Alain Naef, 2023, "Blowing against the Wind? A Narrative Approach to Central Bank Foreign Exchange Intervention," Working papers, Banque de France, number 911.
• Marlène Koffi & Matt Marx, 2023, "Cassatts in the Attic," NBER Working Papers, National Bureau of Economic Research, Inc, number 31316, Jun.
• K. Peren Arin & Efstathios Polyzos & Marcel Thum, 2023, "The Populist Voter: A Machine Learning Approach for the Individual Characteristics," CESifo Working Paper Series, CESifo, number 10472.
• Zazueta, Jorge & Zazueta-Hernández, Jorge & Heredia, Andrea Chavez, 2023, "Support Vector Machines and Bankruptcy Prediction," SocArXiv, Center for Open Science, number 7z24k, Jun, DOI: 10.31219/osf.io/7z24k.
• De Marzo, Giordano, & Mathew, Nanditha, & Sbardella, Angelica,, 2023, "Who creates jobs with broad skillsets? the crucial role of firms," ILO Working Papers, International Labour Organization, number 995271691902676, DOI: 10.54394/KFYG1195.
• Albanesi, Stefania & Silva, António Dias da & Jimeno, Juan F. & Lamo, Ana & Wabitsch, Alena, 2023, "New Technologies and Jobs in Europe," IZA Discussion Papers, IZA Network @ LISER, number 16227, Jun.
• 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, arXiv.org, number 2305.19499, May.
• Mukherjee, Krishnendu, 2023, "Layer: An Alternative Approach To Solve Large Capacitated Vehicle Routing Problem with Time Window Using AI and Exact Method," MPRA Paper, University Library of Munich, Germany, number 117513, Jun, 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, arXiv.org, number 2306.05479, Jun.
• Lifan Zhao & Shuming Kong & Yanyan Shen, 2023, "DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting," Papers, arXiv.org, number 2306.09862, Jun, 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, arXiv.org, number 2306.05593, Jun, 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, IZA Network @ LISER, number 16221, Jun.
• Shaun D'Souza & Dheeraj Shah & Amareshwar Allati & Parikshit Soni, 2023, "Making forecasting self-learning and adaptive -- Pilot forecasting rack," Papers, arXiv.org, number 2306.07305, Jun.
• David Roland-Holst & Kamalbek Karymshakov & Burulcha Sulaimanova & Kadyrbek Sultakeev, 2022, "ICT, Online Search Behavior, and Remittances: Evidence from the Kyrgyz Republic," ADBI Working Papers, Asian Development Bank Institute, number 1348, Dec.
• Ruihua Ruan & Emmanuel Bacry & Jean-Franc{c}ois Muzy, 2023, "Liquidity takers behavior representation through a contrastive learning approach," Papers, arXiv.org, number 2306.05987, Jun, revised Jul 2023.
• Espasa, Antoni & Carlomagno Real, Guillermo, 2023, "Tall big data time series of high frequency: stylized facts and econometric modelling," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 37746, Jul.
• Lorenzo Bretscher & Jesús Fernández-Villaverde & Simon Scheidegger, 2023, "Ricardian Business Cycles," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-43, Jan.
• 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," Sudan SSP working papers, International Food Policy Research Institute (IFPRI), number 7a.
• 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, Center for Open Science, number bev4p, Jun, DOI: 10.31219/osf.io/bev4p.
• 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, number hal-04108783, May.

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 (Tom Coupe) issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-BIG

The following items were announced in this report: