Report NEP-BIG-2022-08-15

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:

• Jeonggil Song, 2022. "Predicting Economic Welfare with Images on Wealth," Papers 2206.14810, arXiv.org.
• Yuta Kuroda & Takeru Sugasawa, 2022. "The value of scattered greenery in urban areas: A hedonic analysis in Japan," DSSR Discussion Papers 128, Graduate School of Economics and Management, Tohoku University.
• Nelson P. Rayl & Nitish R. Sinha, 2022. "Integrating Prediction and Attribution to Classify News," Finance and Economics Discussion Series 2022-042, Board of Governors of the Federal Reserve System (U.S.).
• Weilong Fu & Ali Hirsa, 2022. "Solving barrier options under stochastic volatility using deep learning," Papers 2207.00524, arXiv.org.
• Zöll, Anne & Eitle, Verena & Buxmann, Peter, 2022. "Machine Learning Adoption based on the TOE Framework: A Quantitative Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 133079, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Matthew F. Dixon & Nicholas G. Polson & Kemen Goicoechea, 2022. "Deep Partial Least Squares for Empirical Asset Pricing," Papers 2206.10014, arXiv.org.
• Eleanor Loh & Jalaj Khandelwal & Brian Regan & Duncan A. Little, 2022. "Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce," Papers 2207.01137, arXiv.org, revised Aug 2022.
• Marta Candeias & Nuno Boavida & António Brandão Moniz, 2022. "Automation trends in Portugal: implications in productivity and employment," GEE Papers 0165, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jun 2022.
• Duan, Dinglin & Gao, Zhifeng & Uddin, Md Azhar & Nian, Yefan & Nguyen, Ly, 2022. "Tracing the Trends in Consumer Preferences for Eco-labeled Food: A Text Mining and Topic Modeling Approach," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322419, Agricultural and Applied Economics Association.
• Sander Sõna & Jaan Masso & Shakshi Sharma & Priit Vahter & Rajesh Sharma, 2022. "Predicting Company Innovativeness By Analysing The Website Data Of Firms: A Comparison Across Different Types Of Innovation," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 143, Faculty of Economics and Business Administration, University of Tartu (Estonia).
• Kailai Wang & Xize Wang, 2022. "Generational Differences in Automobility: Comparing America's Millennials and Gen Xers Using Gradient Boosting Decision Trees," Papers 2206.11056, arXiv.org.
• TANGI Luca & VAN NOORDT Colin & COMBETTO Marco & GATTWINKEL Dietmar & PIGNATELLI Francesco, 2022. "AI Watch. European landscape on the use of Artificial Intelligence by the Public Sector," JRC Research Reports JRC129301, Joint Research Centre.
• Anthony Coache & Sebastian Jaimungal & 'Alvaro Cartea, 2022. "Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning," Papers 2206.14666, arXiv.org, revised May 2023.
• Yanwei Jia & Xun Yu Zhou, 2022. "q-Learning in Continuous Time," Papers 2207.00713, arXiv.org, revised Apr 2023.
• CHARISI Vasiliki & CHAUDRON Stephane & DI GIOIA Rosanna & VUORIKARI Riina & ESCOBAR PLANAS Marina & SANCHEZ MARTIN Jose Ignacio & GOMEZ GUTIERREZ Emilia, 2022. "Artificial Intelligence and the Rights of the Child: Towards an Integrated Agenda for Research and Policy," JRC Research Reports JRC127564, Joint Research Centre.
• Mark Joseph Bennett, 2022. "Accelerating Machine Learning Training Time for Limit Order Book Prediction," Papers 2206.09041, arXiv.org.
• MANZONI Marina & MEDAGLIA Rony & TANGI Luca & VAN NOORDT Colin & VACCARI Lorenzino & GATTWINKEL Dietmar, 2022. "AI Watch Road to the adoption of Artificial Intelligence by the Public Sector: A Handbook for Policymakers, Public Administrations and Relevant Stakeholders," JRC Research Reports JRC129100, Joint Research Centre.
• Cao, An N.Q. & Gebrekidan, Bisrat Haile & Heckelei, Thomas & Robe, Michel A., 2022. "County-level USDA Crop Progress and Condition data, machine learning, and commodity market surprises," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322281, Agricultural and Applied Economics Association.
• Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2022. "Situational awareness in big data environment: Insights from French Police decision makers," Post-Print hal-03678829, HAL.
• Weronika Ormaniec & Marcin Pitera & Sajad Safarveisi & Thorsten Schmidt, 2022. "Estimating value at risk: LSTM vs. GARCH," Papers 2207.10539, arXiv.org.
• Jonghun Kwak & Jungyu Ahn & Jinho Lee & Sungwoo Park, 2022. "Shai-am: A Machine Learning Platform for Investment Strategies," Papers 2207.00436, arXiv.org.
• Martina Nannelli & Francesco Capone & Luciana Lazzeretti, 2022. "A bibliometric analysis on Artificial intelligence in Tourism. State of the art and future research avenues," Working Papers - Business wp2022_03.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
• OTA Rui & ITO Arata & SATO Masahiro & YANO Makoto, 2022. "Social Learning and Behavioral Change When Faced with the COVID-19 Pandemic: A big data analysis," Discussion papers 22065, Research Institute of Economy, Trade and Industry (RIETI).
• Vetter, Oliver A. & Hoffmann, Felix & Pumplun, Luisa & Buxmann, Peter, 2022. "What constitutes a machine-learning-driven business model? A taxonomy of B2B start-ups with machine learning at their core," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 133080, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Thibaut Plassot & Isidro Soloaga & Pedro J. Torres, 2022. "A Random Forest approach of the Evolution of Inequality of Opportunity in Mexico," Working Papers 614, ECINEQ, Society for the Study of Economic Inequality.
• Rawal, Niyati & Stock-Homburg, Ruth, 2022. "Facial Emotion Expressions in Human–Robot Interaction: A Survey," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 133073, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• HRADEC Jiri & CRAGLIA Massimo & DI LEO Margherita & DE NIGRIS Sarah & OSTLAENDER Nicole & NICHOLSON Nicholas, 2022. "Multipurpose synthetic population for policy applications," JRC Research Reports JRC128595, Joint Research Centre.
• Mueller, H. & Rauh, C. & Ruggieri, A., 2022. "Dynamic Early Warning and Action Model," Janeway Institute Working Papers 2213, Faculty of Economics, University of Cambridge.
• Jinho Lee & Sungwoo Park & Jungyu Ahn & Jonghun Kwak, 2022. "ETF Portfolio Construction via Neural Network trained on Financial Statement Data," Papers 2207.01187, arXiv.org.
• Villacis, Alexis & Badruddoza, Syed & Mayorga, Joaquin & Mishra, Ashok K., 2022. "Using Machine Learning to Test the Consistency of Food Insecurity Measures," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322472, Agricultural and Applied Economics Association.
• In-Koo Cho & Jonathan Libgober, 2022. "Learning Underspecified Models," Papers 2207.10140, arXiv.org.
• Item repec:cte:wsrepe:35425 is not listed on IDEAS anymore

• Yichen Feng & Ming Min & Jean-Pierre Fouque, 2022. "Deep Learning for Systemic Risk Measures," Papers 2207.00739, arXiv.org.
• Syed Abul, Basher & Salim, Rashid & Mohammad Riad, Uddin, 2022. "Regional Convergence in Bangladesh using Night Lights," MPRA Paper 113394, University Library of Munich, Germany.
• Alessandro Danovi & Marzio Roma & Davide Meloni & Stefano Olgiati & Fernando Metelli, 2022. "Baseline validation of a bias-mitigated loan screening model based on the European Banking Authority's trust elements of Big Data & Advanced Analytics applications using Artificial Intelligence," Papers 2206.08938, arXiv.org.
• Zhijie Zhang, 2022. "Identify Arbitrage Using Machine Learning on Multi-stock Pair Trading Price Forecasting," DSSR Discussion Papers 127, Graduate School of Economics and Management, Tohoku University.
• Chopard, Bertrand & Musy, Olivier, 2022. "Market for Artificial Intelligence in Health Care and Compensation for Medical Errors," MPRA Paper 113328, University Library of Munich, Germany.
• Francis X. Diebold & Maximilian Goebel & Philippe Goulet Coulombe, 2022. "Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice: Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models," Papers 2206.10721, arXiv.org, revised Jun 2023.
• Jun-Cheng Chen & Cong-Xiao Chen & Li-Juan Duan & Zhi Cai, 2022. "DDPG based on multi-scale strokes for financial time series trading strategy," Papers 2207.10071, arXiv.org.
• Jyldyz Djumalieva & Stef Garasto & Cath Sleeman, 2020. "Evaluating a new earnings indicator. Can we improve the timeliness of existing statistics on earnings by using salary information from online job adverts?," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-19, Economic Statistics Centre of Excellence (ESCoE).
• Item repec:hal:wpaper:hal-03716692 is not listed on IDEAS anymore