Printed from https://ideas.repec.org/n/nep-big/2023-11-27.html
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 (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:
- 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, University of Paris Nanterre, EconomiX, number 2023-30.
- Sun, He & Cabras, Stefano, 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, Universidad Carlos III de Madrid. Departamento de EstadÃstica, number 38783, Nov.
- Lewis, Andrew & Vu, Patrick & Duch, Raymond & Chowdhury, Areeq, 2023, "Deepfake Detection With and Without Content Warnings," OSF Preprints, Center for Open Science, number cb7rw, Oct, DOI: 10.31219/osf.io/cb7rw.
- Jozef Barunik & Lubos Hanus, 2023, "Learning the Probability Distributions of Day-Ahead Electricity Prices," Papers, arXiv.org, number 2310.02867, Oct, revised Jul 2025.
- 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, London School of Economics and Political Science, LSE Library, number 117694, Dec.
- Nicholas Bloom & Steven J. Davis & Stephen Hansen & Peter Lambert & Raffaella Sadun & Bledi Taska, 2023, "Remote work across jobs, companies and space," POID Working Papers, Centre for Economic Performance, LSE, number 067, Mar.
- Jeongseob Kim & Jiwoong Jeong, 2023, "Sensory Experiences in Retail: Linking Visitors’ Review with Commercial Revitalization," ERES, European Real Estate Society (ERES), number eres2023_138, Jan.
- 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, European Real Estate Society (ERES), number eres2023_304, Jan.
- Sophia Bodensteiner, 2023, "The impact of social media sentiment on US REITs – a glimpse through the lense of ESG-conscious investors," ERES, European Real Estate Society (ERES), number eres2023_162, Jan.
- Moritz Stang & Bastian Krämer & Marcelo Del Cajias & Wolfgang Schäfers, 2023, "Changing the Location Game – Improving Location Analytics with the Help of Explainable AI," ERES, European Real Estate Society (ERES), number eres2023_139, Jan.
- Anett Wins & Marcelo Del Cajias, 2023, "Location Analysis and Pricing of Amenities," ERES, European Real Estate Society (ERES), number eres2023_102, Jan.
- Koech Cheruiyot & Lungile Gamede, 2023, "The Future of Real Estate Market? Exploring the Potential of Big Data Analytics in South Africa," AfRES, African Real Estate Society (AfRES), number afres2023-023, Jan.
- 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, European Real Estate Society (ERES), number eres2023_22, Jan.
- Sinan Güne & Mustafa Tombul & Harun Tanrivermis, 2023, "Prediction of energy consumption in existing public buildings using gray-box based models," ERES, European Real Estate Society (ERES), number eres2023_255, Jan.
- Nicholas Bloom & Steven J. Davis & Stephen Hansen & Peter Lambert & Raffaella Sadun & Bledi Taska, 2023, "Remote work across jobs, companies and space," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1935, Jul.
- Giulia Caprini, 2023, "Visual Bias," Economics Series Working Papers, University of Oxford, Department of Economics, number 1016, May.
- 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, European Real Estate Society (ERES), number eres2023_241, Jan.
- Michael Pinelis & David Ruppert, 2023, "Maximizing Portfolio Predictability with Machine Learning," Papers, arXiv.org, number 2311.01985, Nov.
- Fehr, Ernst & Epper, Thomas & Senn, Julien, 2023, "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," IZA Discussion Papers, IZA Network @ LISER, number 16535, Oct.
- Zhang, Luyao, 2023, "Machine Learning for Blockchain: Literature Review and Open Research Questions," OSF Preprints, Center for Open Science, number g2q5t, Nov, DOI: 10.31219/osf.io/g2q5t.