Report NEP-BIG-2019-11-18

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:

• Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2019. "Machine learning, human experts, and the valuation of real assets," CFS Working Paper Series 635, Center for Financial Studies (CFS).
• Suss, Joel & Treitel, Henry, 2019. "Predicting bank distress in the UK with machine learning," Bank of England working papers 831, Bank of England.
• Gogas, Periklis & Papadimitriou, Theophilos & Sofianos, Emmanouil, 2019. "Money Neutrality, Monetary Aggregates and Machine Learning," DUTH Research Papers in Economics 4-2016, Democritus University of Thrace, Department of Economics.
• Marco Taboga, 2019. "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Temi di discussione (Economic working papers) 1243, Bank of Italy, Economic Research and International Relations Area.
• Veale, Michael & Binns, Reuben & Van Kleek, Max, 2018. "Some HCI Priorities for GDPR-Compliant Machine Learning," LawArXiv wm6yk, Center for Open Science.
• Daniel Jacob, 2019. "Group Average Treatment Effects for Observational Studies," Papers 1911.02688, arXiv.org, revised Mar 2020.
• Oecd, 2019. "Scoping the OECD AI principles: Deliberations of the Expert Group on Artificial Intelligence at the OECD (AIGO)," OECD Digital Economy Papers 291, OECD Publishing.
• Wheeler, Laurel & Garlick, Robert & Johnson, Eric & Shaw, Patrick & Gargano, Marissa, 2019. "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," Working Papers 2019-14, University of Alberta, Department of Economics.
• Mark Glick & Catherine Ruetschlin, 2019. "Big Tech Acquisitions and the Potential Competition Doctrine: The Case of Facebook," Working Papers Series 104, Institute for New Economic Thinking.
• Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher J. Kurz, 2019. "Tracking the Labor Market with "Big Data"," FEDS Notes 2019-09-20-1, Board of Governors of the Federal Reserve System (U.S.).