Report NEP-BIG-2021-10-18

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:

• Bernard Koch & Tim Sainburg & Pablo Geraldo & Song Jiang & Yizhou Sun & Jacob Gates Foster, 2021. "A Primer on Deep Learning for Causal Inference," Papers 2110.04442, arXiv.org, revised Nov 2023.
• Mahdieh Yazdani, 2021. "Machine Learning, Deep Learning, and Hedonic Methods for Real Estate Price Prediction," Papers 2110.07151, arXiv.org.
• Yufei Wu & Mahmoud Mahfouz & Daniele Magazzeni & Manuela Veloso, 2021. "Towards Robust Representation of Limit Orders Books for Deep Learning Models," Papers 2110.05479, arXiv.org, revised Dec 2022.
• Meerza, Syed Imran Ali & Meerza, Syed Irfan Ali & Ahamed, Afsana, 2021. "Food Insecurity Through Machine Learning Lens: Identifying Vulnerable Households," 2021 Annual Meeting, August 1-3, Austin, Texas 314072, Agricultural and Applied Economics Association.
• Muhammad Apriandito Arya Saputra & Andry Alamsyah & Fajar Ibnu Fatihan, 2021. "Hotel Preference Rank based on Online Customer Review," Papers 2110.06133, arXiv.org.
• Harold D Chiang & Yukun Ma & Joel Rodrigue & Yuya Sasaki, 2021. "Dyadic double/debiased machine learning for analyzing determinants of free trade agreements," Papers 2110.04365, arXiv.org, revised Dec 2022.
• Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics 111601, London School of Economics and Political Science, LSE Library.
• Rebecca Christie, 2021. "Do robots dream of paying taxes?," Policy Contributions 45076, Bruegel.
• Ayush Patnaik & Ajay Shah & Anshul Tayal & Susan Thomas, 2021. "But clouds got in my way: Bias and bias correction of VIIRS nighttime lights data in the presence of clouds," Working Papers 7, xKDR.
• Jiafeng Chen & Xiaohong Chen & Elie Tamer, 2021. "Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators," Papers 2110.06763, arXiv.org, revised Oct 2022.
• Romano, Stefania & Martinez-Heras, Jose & Raponi, Francesco Natalini & Guidi, Gregorio & Gottron, Thomas, 2021. "Discovering new plausibility checks for supervisory data," Statistics Paper Series 41, European Central Bank.
• David Bounie & Antoine Dubus & Patrick Waelbroeck, 2021. "Competition and Mergers with Strategic Data Intermediaries," CESifo Working Paper Series 9339, CESifo.
• M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
• Goecke, Henry & Rusche, Christian, 2021. "Wer setzt die richtigen Weichen für die Künstliche Intelligenz? Eine Analyse der Wahlprogramme der Parteien im deutschen Bundestag," IW policy papers 20/2021, Institut der deutschen Wirtschaft (IW) / German Economic Institute.