Report NEP-BIG-2020-02-03

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:

• Joshua Angrist & Brigham Frandsen, 2019. "Machine Labor," NBER Working Papers 26584, National Bureau of Economic Research, Inc.
• Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," NBER Working Papers 26586, National Bureau of Economic Research, Inc.
• Bertani, Filippo & Raberto, Marco & Teglio, Andrea, 2020. "The Productivity and Unemployment Effects of the Digital Transformation: an Empirical and Modelling Assessment," MPRA Paper 98233, University Library of Munich, Germany.
• Ya Chen & Mike Tsionas & Valentin Zelenyuk, 2020. "LASSO DEA for small and big data," CEPA Working Papers Series WP022020, School of Economics, University of Queensland, Australia.
• Angela Rita Provenzano & Daniele Trifir`o & Nicola Jean & Giacomo Le Pera & Maurizio Spadaccino & Luca Massaron & Claudio Nordio, 2019. "An Artificial Intelligence approach to Shadow Rating," Papers 1912.09764, arXiv.org.
• Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kang, Miao & Kapadia, Sujit & Simsek, Özgür, 2020. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Bank of England working papers 848, Bank of England.
• Boyue Fang & Yutong Feng, 2019. "Design of High-Frequency Trading Algorithm Based on Machine Learning," Papers 1912.10343, arXiv.org.
• Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Economic policy uncertainty in the euro area: an unsupervised machine learning approach," Working Paper Series 2359, European Central Bank.
• Weipan Xu & Xiaozhen Qin & Xun Li & HaohuiCaron Chen & Morgan Frank & Alex Rutherford & Andrew Reeson & Iyad Rahwan, 2020. "China's First Workforce Skill Taxonomy," Papers 2001.02863, arXiv.org.
• Julia Cage & Nicolas Hervé & Marie-Luce Viaud, 2019. "The Production of Information in an Online World," SciencePo Working papers Main hal-03567007, HAL.
• Rickard Nyman & Paul Ormerod, 2020. "Text as Data: Real-time Measurement of Economic Welfare," Papers 2001.03401, arXiv.org.
• Onur Altindag & Stephen D. O’Connell & Aytug Sasmaz & Zeynep Balcioglu & Paola Cadoni & Matilda Jerneck & Aimee Kunze Foong, 2019. "Targeting Humanitarian Aid Using Administrative Data: Model Design And Validation," Working Papers 1343, Economic Research Forum, revised 20 Sep 2019.
• Léopold Simar & Valentin Zelenyuk, 2020. "Improving Finite Sample Approximation by Central Limit Theorems for Estimates from Data Envelopment Analysis," CEPA Working Papers Series WP012020, School of Economics, University of Queensland, Australia.
• Mark Kiermayer & Christian Wei{ss}, 2019. "Grouping of Contracts in Insurance using Neural Networks," Papers 1912.09964, arXiv.org.
• Jeffrey Ding & Allan Dafoe, 2020. "The Logic of Strategic Assets: From Oil to Artificial Intelligence," Papers 2001.03246, arXiv.org, revised May 2021.
• Shi, Chengchun & Fan, Ailin & Song, Rui & Lu, Wenbin, 2018. "High-dimensional A-learning for optimal dynamic treatment regimes," LSE Research Online Documents on Economics 102113, London School of Economics and Political Science, LSE Library.