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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 (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:
- Yung, Vincent & Colyvas, Jeannette, 2023, "Munging the Ghosts in the Machine: Coded Bias and the Craft of Wrangling Archival Data," SocArXiv, Center for Open Science, number 2dve6, Aug, DOI: 10.31219/osf.io/2dve6.
- 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, Prague University of Economics and Business, number 5.007, Jul, 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, arXiv.org, number 2308.08031, Aug.
- Rama K. Malladi, 2023, "Emerging Frontiers: Exploring the Impact of Generative AI Platforms on University Quantitative Finance Examinations," Papers, arXiv.org, number 2308.07979, Aug, 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, National Bureau of Economic Research, Inc, number 31592, Aug.
- Annabelle Mourougane & Polina Knutsson & Rodrigo Pazos & Julia Schmidt & Francesco Palermo, 2023, "Nowcasting trade in value added indicators," OECD Statistics Working Papers, OECD Publishing, number 2023/03, Sep, DOI: 10.1787/00f8aff7-en.
- Ilias Filippou & James Mitchell & My T. Nguyen, 2023, "The FOMC versus the Staff: Do Policymakers Add Value in Their Tales?," Working Papers, Federal Reserve Bank of Cleveland, number 23-20, Aug, DOI: 10.26509/frbc-wp-202320.
- Kleyton da Costa, 2023, "Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy," Papers, arXiv.org, number 2308.02914, Aug, revised Aug 2023.
- Turan G. Bali & Bryan T. Kelly & Mathis Mörke & Jamil Rahman, 2023, "Machine Forecast Disagreement," NBER Working Papers, National Bureau of Economic Research, Inc, number 31583, Aug.
- 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, arXiv.org, number 2308.06303, Aug.
- Sander van Cranenburgh & Francisco Garrido-Valenzuela, 2023, "Computer vision-enriched discrete choice models, with an application to residential location choice," Papers, arXiv.org, number 2308.08276, Aug.
- 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, arXiv.org, number 2308.09485, Aug.
- Bonan, Jacopo & Curzi, Daniele & D'Adda, Giovanna & Ferro, Simone, 2023, "Climate Change Salience and Electricity Consumption: Evidence from Twitter Activity," RFF Working Paper Series, Resources for the Future, number 23-34, Aug.
- Daouia, Abdelaati & Abbas, Yasser, 2023, "Understanding World Economy Dynamics Based on Indicators and Events," TSE Working Papers, Toulouse School of Economics (TSE), number 23-1461, Aug.