Report NEP-BIG-2023-12-04

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:

• Xiong Xiong & Fan Yang & Li Su, 2023. "Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques," Papers 2310.19200, arXiv.org.
• Ryan Chipwanya, 2023. "Stock Market Directional Bias Prediction Using ML Algorithms," Papers 2310.16855, arXiv.org.
• Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
• Lee, Sangkyu, 2023. "Strategies for Optimizing Policy Outcomes through Machine Learning: A Case Study on Korean R&D Project Assessment," Industrial Economic Review 23-22, Korea Institute for Industrial Economics and Trade.
• Marcelo DEL Cajias & Anna Freudenreich, 2023. "What are tenants demanding the most? A machine learning approach for the prediction of time on market," ERES eres2023_35, European Real Estate Society (ERES).
• Joao Vitor Matos Goncalves & Michel Alexandre & Gilberto Tadeu Lima, 2023. "ARIMA and LSTM: A Comparative Analysis of Financial Time Series Forecasting," Working Papers, Department of Economics 2023_13, University of São Paulo (FEA-USP).
• Marco Delogu & Raffaelle Lagravinese & Dimitri Paolini & Giuliano Resce, 2020. "Predicting dropout from higher education: Evidence from Italy," DEM Discussion Paper Series 22-06, Department of Economics at the University of Luxembourg.
• Nian Si, 2023. "Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach," Papers 2310.17496, arXiv.org, revised Apr 2024.
• Abi Adams-Prassl & Maria Balgova & Matthias Qian & Tom Waters, 2023. "Firm Concentration & Job Design: The Case of Schedule Flexible Work Arrangements," Economics Series Working Papers 1002, University of Oxford, Department of Economics.
• Jonathan Alexander Muñoz-Martínez & David Orozco & Mario A. Ramos-Veloza, 2023. "Tweeting Inflation: Real-Time measures of Inflation Perception in Colombia," Borradores de Economia 1256, Banco de la Republica de Colombia.
• Mariam Dundua & Otar Gorgodze, 2022. "Application of Artificial Intelligence for Monetary Policy-Making," NBG Working Papers 02/2022, National Bank of Georgia.
• Thomas R. Cook & Sophia Kazinnik & Anne Lundgaard Hansen & Peter McAdam, 2023. "Evaluating Local Language Models: An Application to Bank Earnings Calls," Research Working Paper RWP 23-12, Federal Reserve Bank of Kansas City.
• Grzegorz Marcjasz & Tomasz Serafin & Rafal Weron, 2023. "Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks," WORking papers in Management Science (WORMS) WORMS/23/01, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
• Seulki Chung, 2023. "Inside the black box: Neural network-based real-time prediction of US recessions," Papers 2310.17571, arXiv.org, revised May 2024.
• Hendrik Jenett, 2023. "Composition of Real Estate Values: Analyzing Time-Varying Credit and Market Data Using Neural Networks," ERES eres2023_183, European Real Estate Society (ERES).
• Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation and Inference for a Class of Generalized Hierarchical Models," Papers 2311.02789, arXiv.org, revised Apr 2024.
• Antonin Bergeaud & Cyril Verluise, 2022. "The rise of China's technological power: the perspective from frontier technologies," POID Working Papers 039, Centre for Economic Performance, LSE.
• Bastian Krämer & Moritz Stang & Vanja Doskoc & Wolfgang Schäfers & Friedrich Tobias, 2023. "Automated Valuation Models: Improving Model Performance by Choosing the Optimal Spatial Training Level," ERES eres2023_120, European Real Estate Society (ERES).
• Kang Gao & Stephen Weston & Perukrishnen Vytelingum & Namid R. Stillman & Wayne Luk & Ce Guo, 2023. "Deeper Hedging: A New Agent-based Model for Effective Deep Hedging," Papers 2310.18755, arXiv.org.
• Tomas Adam & Jan Belka & Martin Hluze & Jakub Mateju & Hana Prause & Jiri Schwarz, 2023. "Ace in Hand: The Value of Card Data in the Game of Nowcasting," Working Papers 2023/14, Czech National Bank.
• Tatiana Evdokimova & Piroska Nagy Mohacsi & Olga Ponomarenko & Elina Ribakova, 2023. "Central banks and policy communication: How emerging markets have outperformed the Fed and ECB," Working Paper Series WP23-10, Peterson Institute for International Economics.
• Mamalis, Marios & Kalampokis, Evangelos & Karamanou, Areti & Brimos, Petros & Tarabanis, Konstantinos, 2023. "Can Large Language Models Revolutionalize Open Government Data Portals? A Case of Using ChatGPT in statistics.gov.scot," OSF Preprints 9b35z, Center for Open Science.