Report NEP-BIG-2023-04-10

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:

• Ed Felten & Manav Raj & Robert Seamans, 2023. "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers 2303.01157, arXiv.org, revised Mar 2023.
• Raihan Tanvir & Md Tanvir Rouf Shawon & Md. Golam Rabiul Alam, 2023. "DSE Stock Price Prediction using Hidden Markov Model," Papers 2302.08911, arXiv.org.
• Costantiello, Alberto & Leogrande, Angelo, 2023. "The Regulatory Quality and ESG Model at World Level," MPRA Paper 116663, University Library of Munich, Germany.
• Naudé, Wim, 2023. "Artificial Intelligence and the Economics of Decision-Making," IZA Discussion Papers 16000, Institute of Labor Economics (IZA).
• Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2023. "Biased auctioneers," CFS Working Paper Series 692, Center for Financial Studies (CFS).
• Joëlle Noailly ; Laura Nowzohour; Matthias van den Heuvel, 2022. "Does Environmental Policy Uncertainty Hinder Investments Towards a Low-Carbon Economy?," CIES Research Paper series 74-2022, Centre for International Environmental Studies, The Graduate Institute.
• Ramos & Pablo Negri & Martín Breitkopf & María Laura Ojeda, 2021. "From International to Regional Commodity Price Pass-through Using Self-Driven Recurrent Networks," Asociación Argentina de Economía Política: Working Papers 4513, Asociación Argentina de Economía Política.
• Jens Ludwig & Sendhil Mullainathan, 2023. "Machine Learning as a Tool for Hypothesis Generation," NBER Working Papers 31017, National Bureau of Economic Research, Inc.
• Leon, Mathilde & Cristia, Alejandrina, 2023. "Regulation relevant to (long-form) audio recordings gathered in Namibia," OSF Preprints dknj4, Center for Open Science.
• Mihai Mutascu, 2021. "Artificial intelligence and unemployment: New insights," Post-Print hal-03528263, HAL.
• MOTOHASHI Kazuyuki, 2023. "Examining Competitive Strategy of Manufacturing Firms in Digital Evolution with Platform Theory (Japanese)," Policy Discussion Papers (Japanese) 23003, Research Institute of Economy, Trade and Industry (RIETI).
• Flavio Calvino & Luca Fontanelli, 2023. "A portrait of AI adopters across countries: Firm characteristics, assets’ complementarities and productivity," OECD Science, Technology and Industry Working Papers 2023/02, OECD Publishing.
• Boian Lazov, 2023. "A Deep Reinforcement Learning Trader without Offline Training," Papers 2303.00356, arXiv.org.
• Yukun Ma, 2023. "Identification-robust inference for the LATE with high-dimensional covariates," Papers 2302.09756, arXiv.org, revised Nov 2023.
• Thomas Wong & Mauricio Barahona, 2023. "Deep incremental learning models for financial temporal tabular datasets with distribution shifts," Papers 2303.07925, arXiv.org, revised Oct 2023.
• Francesca Borgonovi & Justine Hervé & Helke Seitz, 2023. "Not lost in translation: The implications of machine translation technologies for language professionals and for broader society," OECD Social, Employment and Migration Working Papers 291, OECD Publishing.
• Luke Sherman & Jonathan Proctor & Hannah Druckenmiller & Heriberto Tapia & Solomon M. Hsiang, 2023. "Global High-Resolution Estimates of the United Nations Human Development Index Using Satellite Imagery and Machine-learning," NBER Working Papers 31044, National Bureau of Economic Research, Inc.
• Verhagen, Mark D., 2023. "Using machine learning to monitor the equity of large-scale policy interventions: The Dutch decentralisation of the Social Domain," SocArXiv qzm7y, Center for Open Science.
• Singla, Shikhar, 2023. "Regulatory costs and market power," LawFin Working Paper Series 47, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
• Klauber, Hannah & Koch, Nicolas, 2023. "Determinants of Heat Risk in an Aging Population: A Machine Learning Approach," IZA Discussion Papers 15996, Institute of Labor Economics (IZA).
• Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
• Minkyu Shin & Jin Kim & Bas van Opheusden & Thomas L. Griffiths, 2023. "Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty," Papers 2303.07462, arXiv.org, revised Apr 2023.