Report NEP-BIG-2023-03-06

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:

• Alicia Curth & Mihaela van der Schaar, 2023. "In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation," Papers 2302.02923, arXiv.org, revised Jun 2023.
• Jarvis, Stephen & Deschenes, Olivier & Jha, Akshaya, 2022. "The private and external costs of Germany’s nuclear phase-out," LSE Research Online Documents on Economics 113634, London School of Economics and Political Science, LSE Library.
• Dirk Foremny & Pilar Sorribas-Navarro & Judit Vall Castelló, 2022. "Income insecurity and mental health in pandemic times," Working Papers 2022/07, Institut d'Economia de Barcelona (IEB).
• Laura Gabrielli & Aurora Ruggeri & Massimiliano Scarpa, 2022. "A multiparametric procedure to understand how the Covid-19 influenced the real estate market," ERES 2022_178, European Real Estate Society (ERES).
• Peters, Felix, 2023. "Human-AI Interaction – Investigating the Impact on Individuals and Organizations," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136450, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Haosen Ge, 2023. "Measuring Regulatory Barriers Using Annual Reports of Firms," Papers 2301.11084, arXiv.org.
• Juan Mateos-Garcia & George Richardson, 2022. "A Bottom Up Industrial Taxonomy for the UK. Refinements and an Application," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-29, Economic Statistics Centre of Excellence (ESCoE).
• Choi, Mincheol & Song, Danbee & Cho, Jaehan, 2021. "Expanding Corporate Use of Artificial Intelligence," i-KIET Issues and Analysis 21/4, Korea Institute for Industrial Economics and Trade.
• Shoshan, Vered & Hazan, Tamir & Plonsky, Ori, 2023. "BEAST-Net: Learning novel behavioral insights using a neural network adaptation of a behavioral model," OSF Preprints kaeny, Center for Open Science.
• Nino Paulus & Marina Koelbl & Wolfgang Schäfers, 2022. "Can Textual Analysis solve the Underpricing Puzzle? A US REIT Study," ERES 2022_45, European Real Estate Society (ERES).
• Martin Regnaud & Julie Le Gallo & Marie Breuille, 2022. "Understanding rental profit and mechanisms that yields rental and real estate prices using machine learning approach," ERES 2022_107, European Real Estate Society (ERES).
• Vikranth Lokeshwar Dhandapani & Shashi Jain, 2023. "Data-driven Approach for Static Hedging of Exchange Traded Options," Papers 2302.00728, arXiv.org, revised Jan 2024.
• Lee, Heungmin, 2023. "Application of Pretrained Language Models in Modern Financial Research," OSF Preprints 5s3nw, Center for Open Science.
• Lanier, Joshua & Large, Jeremy & Quah, John, 2022. "Estimating Very Large Demand Systems," INET Oxford Working Papers 2023-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
• Bastian Krämer & Moritz Stang & Cathrine Nagl & Wolfgang Schäfers, 2022. "Explainable AI in a Real Estate Context – Exploring the Determinants of Residential Real Estate Values," ERES 2022_50, European Real Estate Society (ERES).
• Malgorzata Renigier-Biozor & Artur Janowski & Marek Walacik & Aneta Chmielewska, 2022. "Human emotion recognition in the significance assessment of property attributes," ERES 2022_18, European Real Estate Society (ERES).
• Juan Carlos Escanciano & Telmo P'erez-Izquierdo, 2023. "Automatic Locally Robust Estimation with Generated Regressors," Papers 2301.10643, arXiv.org, revised Nov 2023.
• Jonathan Rothenbusch & Konstantin Schütz & Feibai Huang & Björn-Martin Kurzrock, 2022. "Machine Learning in Building Documentation (ML-BAU-DOK) - Foundations for Information Extraction for Energy Efficiency and Life Cycle Analysis," ERES 2022_234, European Real Estate Society (ERES).