Report NEP-BIG-2023-09-18

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:

• Yung, Vincent & Colyvas, Jeannette, 2023. "Munging the Ghosts in the Machine: Coded Bias and the Craft of Wrangling Archival Data," SocArXiv 2dve6, Center for Open Science.
• Jiří Witzany & Milan Fičura, 2023. "A Comparison of Neural Networks and Bayesian MCMC for the Heston Model Estimation (Forget Statistics - Machine Learning is Sufficient!)," FFA Working Papers 5.007, Prague University of Economics and Business, revised 11 Jul 2023.
• Dimitrios Vamvourellis & M'at'e Toth & Snigdha Bhagat & Dhruv Desai & Dhagash Mehta & Stefano Pasquali, 2023. "Company Similarity using Large Language Models," Papers 2308.08031, arXiv.org.
• Rama K. Malladi, 2023. "Emerging Frontiers: Exploring the Impact of Generative AI Platforms on University Quantitative Finance Examinations," Papers 2308.07979, arXiv.org, revised Aug 2023.
• Yael Hochberg & Ali Kakhbod & Peiyao Li & Kunal Sachdeva, 2023. "Inventor Gender and Patent Undercitation: Evidence from Causal Text Estimation," NBER Working Papers 31592, National Bureau of Economic Research, Inc.
• Annabelle Mourougane & Polina Knutsson & Rodrigo Pazos & Julia Schmidt & Francesco Palermo, 2023. "Nowcasting trade in value added indicators," OECD Statistics Working Papers 2023/03, OECD Publishing.
• Ilias Filippou & James Mitchell & My T. Nguyen, 2023. "The FOMC versus the Staff: Do Policymakers Add Value in Their Tales?," Working Papers 23-20, Federal Reserve Bank of Cleveland.
• Kleyton da Costa, 2023. "Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy," Papers 2308.02914, arXiv.org, revised Aug 2023.
• Turan G. Bali & Bryan T. Kelly & Mathis Mörke & Jamil Rahman, 2023. "Machine Forecast Disagreement," NBER Working Papers 31583, National Bureau of Economic Research, Inc.
• Mikrajuddin Abdullah, 2023. "A New Approach to Overcoming Zero Trade in Gravity Models to Avoid Indefinite Values in Linear Logarithmic Equations and Parameter Verification Using Machine Learning," Papers 2308.06303, arXiv.org.
• Sander van Cranenburgh & Francisco Garrido-Valenzuela, 2023. "Computer vision-enriched discrete choice models, with an application to residential location choice," Papers 2308.08276, arXiv.org.
• Valentina Semenova & Dragos Gorduza & William Wildi & Xiaowen Dong & Stefan Zohren, 2023. "Wisdom of the Crowds or Ignorance of the Masses? A data-driven guide to WSB," Papers 2308.09485, arXiv.org.
• Bonan, Jacopo & Curzi, Daniele & D'Adda, Giovanna & Ferro, Simone, 2023. "Climate Change Salience and Electricity Consumption: Evidence from Twitter Activity," RFF Working Paper Series 23-34, Resources for the Future.
• Daouia, Abdelaati & Abbas, Yasser, 2023. "Understanding World Economy Dynamics Based on Indicators and Events," TSE Working Papers 23-1461, Toulouse School of Economics (TSE).