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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 (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:
- Ed Felten & Manav Raj & Robert Seamans, 2023, "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers, arXiv.org, number 2303.01157, Mar, revised Mar 2023.
- Raihan Tanvir & Md Tanvir Rouf Shawon & Md. Golam Rabiul Alam, 2023, "DSE Stock Price Prediction using Hidden Markov Model," Papers, arXiv.org, number 2302.08911, Jan.
- Costantiello, Alberto & Leogrande, Angelo, 2023, "The Regulatory Quality and ESG Model at World Level," MPRA Paper, University Library of Munich, Germany, number 116663, Mar.
- Naudé, Wim, 2023, "Artificial Intelligence and the Economics of Decision-Making," IZA Discussion Papers, IZA Network @ LISER, number 16000, Mar.
- Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2023, "Biased auctioneers," CFS Working Paper Series, Center for Financial Studies (CFS), number 692.
- Joëlle Noailly ; Laura Nowzohour; Matthias van den Heuvel, 2022, "Does Environmental Policy Uncertainty Hinder Investments Towards a Low-Carbon Economy?," CIES Research Paper series, Centre for International Environmental Studies, The Graduate Institute, number 74-2022, Sep.
- 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, Asociación Argentina de Economía Política, number 4513, Nov.
- Jens Ludwig & Sendhil Mullainathan, 2023, "Machine Learning as a Tool for Hypothesis Generation," NBER Working Papers, National Bureau of Economic Research, Inc, number 31017, Mar.
- Leon, Mathilde & Cristia, Alejandrina, 2023, "Regulation relevant to (long-form) audio recordings gathered in Namibia," OSF Preprints, Center for Open Science, number dknj4, Mar, DOI: 10.31219/osf.io/dknj4.
- Mihai Mutascu, 2021, "Artificial intelligence and unemployment: New insights," Post-Print, HAL, number hal-03528263, Mar, DOI: 10.1016/j.eap.2021.01.012.
- Kazuyuki MOTOHASHI, 2023, "Examining Competitive Strategy of Manufacturing Firms in Digital Evolution with Platform Theory (Japanese)," Policy Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 23003, Mar.
- 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, OECD Publishing, number 2023/02, Apr, DOI: 10.1787/0fb79bb9-en.
- Boian Lazov, 2023, "A Deep Reinforcement Learning Trader without Offline Training," Papers, arXiv.org, number 2303.00356, Mar.
- Yukun Ma, 2023, "Identification-robust inference for the LATE with high-dimensional covariates," Papers, arXiv.org, number 2302.09756, Feb, revised Nov 2025.
- Thomas Wong & Mauricio Barahona, 2023, "Deep incremental learning models for financial temporal tabular datasets with distribution shifts," Papers, arXiv.org, number 2303.07925, Mar, 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, OECD Publishing, number 291, Mar, DOI: 10.1787/e1d1d170-en.
- 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, National Bureau of Economic Research, Inc, number 31044, Mar.
- Verhagen, Mark D., 2023, "Using machine learning to monitor the equity of large-scale policy interventions: The Dutch decentralisation of the Social Domain," SocArXiv, Center for Open Science, number qzm7y, Mar, DOI: 10.31219/osf.io/qzm7y.
- Singla, Shikhar, 2023, "Regulatory costs and market power," LawFin Working Paper Series, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin), number 47.
- Klauber, Hannah & Koch, Nicolas, 2023, "Determinants of Heat Risk in an Aging Population: A Machine Learning Approach," IZA Discussion Papers, IZA Network @ LISER, number 15996, Mar.
- Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022, "Artificial intelligence in science: An emerging general method of invention," Post-Print, HAL, number hal-03958025, Dec, DOI: 10.1016/j.respol.2022.104604.
- Minkyu Shin & Jin Kim & Bas van Opheusden & Thomas L. Griffiths, 2023, "Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty," Papers, arXiv.org, number 2303.07462, Mar, revised Apr 2023.