Printed from https://ideas.repec.org/n/nep-big/2023-06-12.html
Report NEP-BIG-2023-06-12
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:
- Mallory Avery & Andreas Leibbrandt & Joseph Vecci, 2023, "Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech," Monash Economics Working Papers, Monash University, Department of Economics, number 2023-09, May.
- Cero, Ian & Luo, Jiebo & Falligant, John, 2023, "Sentiment Analysis of Linguistic Data in Behavioral Research," OSF Preprints, Center for Open Science, number gw97k, May, DOI: 10.31219/osf.io/gw97k.
- Rian Dolphin & Barry Smyth & Ruihai Dong, 2023, "Industry Classification Using a Novel Financial Time-Series Case Representation," Papers, arXiv.org, number 2305.00245, Apr.
- Marcell T. Kurbucz & P'eter P'osfay & Antal Jakov'ac, 2023, "Predicting the Price Movement of Cryptocurrencies Using Linear Law-based Transformation," Papers, arXiv.org, number 2305.04884, Apr.
- Moltrecht, Bettina & Wood, Thomas Andrew & Scopel Hoffmann, Mauricio & McElroy, Eoin, 2023, "Harmony: a web-tool for retrospective, multilingual harmonisation of questionnaire items using natural language processing," OSF Preprints, Center for Open Science, number 9bmf3, Apr, DOI: 10.31219/osf.io/9bmf3.
- Dangxing Chen & Weicheng Ye, 2023, "How to address monotonicity for model risk management?," Papers, arXiv.org, number 2305.00799, Apr, revised Sep 2023.
- Sri Rajitha Tattikota & Naveen Srinivasan, 2021, "Integration of Econometric Models and Machine Learning- Study on US Inflation and Unemployment," Working Papers, Madras School of Economics,Chennai,India, number 2021-207, Jun.
- Amanda M. Michaud, 2023, "Expanding Unemployment Insurance Coverage," Opportunity and Inclusive Growth Institute Working Papers, Federal Reserve Bank of Minneapolis, number 067, Mar, DOI: 10.21034/iwp.67.
- Leland Bybee, 2023, "Surveying Generative AI's Economic Expectations," Papers, arXiv.org, number 2305.02823, May, revised May 2023.
- Carlos Moreno Pérez & Marco Minozzo, 2022, "Monetary Policy Uncertainty in Mexico: An Unsupervised Approach," Working Papers, Banco de España, number 2229, Aug.
- Pierre Brugière & Gabriel Turinici, 2023, "Deep learning of Value at Risk through generative neural network models : the case of the Variational Auto Encoder," Post-Print, HAL, number hal-03880381, Apr, DOI: 10.1016/j.mex.2023.102192.
- Nadeem Malibari & Iyad Katib & Rashid Mehmood, 2023, "Systematic Review on Reinforcement Learning in the Field of Fintech," Papers, arXiv.org, number 2305.07466, Apr.
- Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023, "Hedonic prices and quality adjusted price indices powered by AI," CeMMAP working papers, Institute for Fiscal Studies, number 08/23, Apr, DOI: 10.47004/wp.cem.2023.0823.
- Clarissa Laura Maria Spiess Bru, 2023, "Does the Tasting Note Matter? Language Categories and Their Impact on Professional Ratings and Prices," Working Papers Dissertations, Paderborn University, Faculty of Business Administration and Economics, number 105, May.
- Simon Briole & Augustin Colette & Emmanuelle Lavaine, 2023, "The Heterogeneous Effects of Lockdown Policies on Air Pollution," CEE-M Working Papers, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro, number hal-04084912, Apr.
- Andrea L. Eisfeldt & Gregor Schubert & Miao Ben Zhang, 2023, "Generative AI and Firm Values," NBER Working Papers, National Bureau of Economic Research, Inc, number 31222, May.
- Carlos Moreno Pérez & Marco Minozzo, 2022, "Natural Language Processing and Financial Markets: Semi-supervised Modelling of Coronavirus and Economic News," Working Papers, Banco de España, number 2228, Aug.
- Jiaju Miao & Pawel Polak, 2023, "Online Ensemble Learning for Sector Rotation: A Gradient-Free Framework," Papers, arXiv.org, number 2304.09947, Mar, revised Nov 2025.
- Dam, John & Rickon, Henry, 2023, "Innovation in Artificial Intelligence and the Catalyst of Open Data Sharing: Literature Review and Policy implications," Thesis Commons, Center for Open Science, number a3zwu, May, DOI: 10.31219/osf.io/a3zwu.
- Gutierrez-Lythgoe, Antonio, 2023, "Autoempleo y Machine Learning: Una aplicación para España
[Self-employment and Machine Learning: An application for Spain]," MPRA Paper, University Library of Munich, Germany, number 117275, May.