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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 (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:
- Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2019, "Machine learning, human experts, and the valuation of real assets," CFS Working Paper Series, Center for Financial Studies (CFS), number 635.
- Joel Suss & Henry Treitel, 2019, "Predicting bank distress in the UK with machine learning," Bank of England working papers, Bank of England, number 831, Oct.
- Periklis Gogas & Theophilos Papadimitriou & Emmanouil Sofianos, 2019, "Money Neutrality, Monetary Aggregates and Machine Learning," DUTH Research Papers in Economics, Democritus University of Thrace, Department of Economics, number 4-2016, Jul.
- Marco Taboga, 2019, "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1243, Nov.
- Veale, Michael & Binns, Reuben & Van Kleek, Max, 2018, "Some HCI Priorities for GDPR-Compliant Machine Learning," LawRxiv, Center for Open Science, number wm6yk, Mar, DOI: 10.31219/osf.io/wm6yk.
- Daniel Jacob, 2019, "Group Average Treatment Effects for Observational Studies," Papers, arXiv.org, number 1911.02688, Nov, 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, OECD Publishing, number 291, Nov, DOI: 10.1787/d62f618a-en.
- Laurel Wheeler & Robert Garlick & Eric Johnson & Patrick Shaw & Marissa Gargano, 2019, "LinkedIn(to) Job Opportunities: Experimental Evidence from Job Readiness Training," Working Papers, University of Alberta, Department of Economics, number 2019-14, Sep.
- Mark Glick & Catherine Ruetschlin, 2019, "Big Tech Acquisitions and the Potential Competition Doctrine: The Case of Facebook," Working Papers Series, Institute for New Economic Thinking, number 104, Oct, DOI: 10.36687/inetwp104.
- Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher J. Kurz, 2019, "Tracking the Labor Market with "Big Data"," FEDS Notes, Board of Governors of the Federal Reserve System (U.S.), number 2019-09-20-1, Sep, DOI: 10.17016/2380-7172.2441.