Report NEP-BIG-2023-11-27

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:

• Hugo Oriola & Matthieu Picault, 2023. "Opportunistic Political Central Bank Coverage: Does media coverage of ECB's Monetary Policy Impacts German Political Parties' Popularity?," EconomiX Working Papers 2023-30, University of Paris Nanterre, EconomiX.
• Sun, He, 2023. "Deep Learning and Bayesian Calibration Approach to Hourly Passenger Occupancy Prediction in Beijing Metro: A Study Exploiting Cellular Data and Metro Conditions," DES - Working Papers. Statistics and Econometrics. WS 38783, Universidad Carlos III de Madrid. Departamento de Estadística.
• Lewis, Andrew & Vu, Patrick & Duch, Raymond & Chowdhury, Areeq, 2023. "Deepfake Detection With and Without Content Warnings," OSF Preprints cb7rw, Center for Open Science.
• Jozef Barunik & Lubos Hanus, 2023. "Learning Probability Distributions of Day-Ahead Electricity Prices," Papers 2310.02867, arXiv.org, revised Oct 2023.
• Wang, Ruoyu & Cao, Mengqiu & Yao, Yao & Wu, Wenjie, 2022. "The inequalities of different dimensions of visible street urban green space provision: a machine learning approach," LSE Research Online Documents on Economics 117694, London School of Economics and Political Science, LSE Library.
• Nicholas Bloom & Steven J. Davis & Stephen Hansen & Peter Lambert & Raffaella Sadun & Bledi Taska, 2023. "Remote work across jobs, companies and space," POID Working Papers 067, Centre for Economic Performance, LSE.
• Jeongseob Kim & Jiwoong Jeong, 2023. "Sensory Experiences in Retail: Linking Visitors’ Review with Commercial Revitalization," ERES eres2023_138, European Real Estate Society (ERES).
• Julia Angerer & Wolfgang Brunauer, 2023. "How big is the real estate property? Using zero-shot vs. rule-based classificationfor size extraction in real estate contracts," ERES eres2023_304, European Real Estate Society (ERES).
• Sophia Bodensteiner, 2023. "The impact of social media sentiment on US REITs – a glimpse through the lense of ESG-conscious investors," ERES eres2023_162, European Real Estate Society (ERES).
• Moritz Stang & Bastian Krämer & Marcelo Del Cajias & Wolfgang Schäfers, 2023. "Changing the Location Game – Improving Location Analytics with the Help of Explainable AI," ERES eres2023_139, European Real Estate Society (ERES).
• Anett Wins & Marcelo Del Cajias, 2023. "Location Analysis and Pricing of Amenities," ERES eres2023_102, European Real Estate Society (ERES).
• Koech Cheruiyot & Lungile Gamede, 2023. "The Future of Real Estate Market? Exploring the Potential of Big Data Analytics in South Africa," AfRES afres2023-023, African Real Estate Society (AfRES).
• Miroslav Despotovic & David Koch & Matthias Zeppelzauer & Stumpe Eric & Simon Thaler & Wolfgang A. Brunauer, 2023. "Multimodal Information Fusion for the Prediction of the Condition of Condominiums," ERES eres2023_22, European Real Estate Society (ERES).
• Sinan Güne & Mustafa Tombul & Harun Tanrivermis, 2023. "Prediction of energy consumption in existing public buildings using gray-box based models," ERES eres2023_255, European Real Estate Society (ERES).
• Nicholas Bloom & Steven J. Davis & Stephen Hansen & Peter Lambert & Raffaella Sadun & Bledi Taska, 2023. "Remote work across jobs, companies and space," CEP Discussion Papers dp1935, Centre for Economic Performance, LSE.
• Giulia Caprini, 2023. "Visual Bias," Economics Series Working Papers 1016, University of Oxford, Department of Economics.
• Matthias Soot & Sabine Horvath & Hans-Berndt Neuner & Alexandra Weitkamp, 2023. "Benefits and limitations of machine learning methods in the inhomogeneous real estate market of mixed-use asset class," ERES eres2023_241, European Real Estate Society (ERES).
• Michael Pinelis & David Ruppert, 2023. "Maximizing Portfolio Predictability with Machine Learning," Papers 2311.01985, arXiv.org.
• Fehr, Ernst & Epper, Thomas & Senn, Julien, 2023. "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," IZA Discussion Papers 16535, Institute of Labor Economics (IZA).
• Zhang, Luyao, 2023. "Machine Learning for Blockchain: Literature Review and Open Research Questions," OSF Preprints g2q5t, Center for Open Science.