Report NEP-BIG-2020-04-27

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:

• Cheng, Cindy & Barceló, Joan & Hartnett, Allison & Kubinec, Robert & Messerschmidt, Luca, 2020. "CoronaNet: A Dyadic Dataset of Government Responses to the COVID-19 Pandemic," SocArXiv dkvxy, Center for Open Science.
• Naudé, Wim, 2020. "Artificial Intelligence against COVID-19: An Early Review," IZA Discussion Papers 13110, Institute of Labor Economics (IZA).
• Commander, Simon & Poupakis, Stavros, 2020. "Political Networks across the Globe," IZA Discussion Papers 13103, Institute of Labor Economics (IZA).
• Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel W. Sacks & Boyoung Seo, 2020. "Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims," Working Paper Series WP 2020-10, Federal Reserve Bank of Chicago.
• Tomaz Cajner & Leland D. Crane & Ryan A. Decker & Adrian Hamins-Puertolas & Christopher J. Kurz, 2020. "Tracking Labor Market Developments during the COVID-19 Pandemic: A Preliminary Assessment," Finance and Economics Discussion Series 2020-030, Board of Governors of the Federal Reserve System (U.S.).
• Adair Morse & Karen M. Pence, 2020. "Technological Innovation and Discrimination in Household Finance," Finance and Economics Discussion Series 2020-018, Board of Governors of the Federal Reserve System (U.S.).
• Mélanie Bourassa Forcier & Lara Khoury & Nathalie Vézina, 2020. "The Use of Artificial Intelligence in Health Care: Liability Issues," CIRANO Working Papers 2020s-19, CIRANO.
• de Pedraza, Pablo & Vollbracht, Ian, 2020. "The Semicircular Flow of the Data Economy and the Data Sharing Laffer curve," GLO Discussion Paper Series 515, Global Labor Organization (GLO).
• Jennifer Castle & Jurgen Doornik & David Hendry, 2020. "Modelling Non-stationary 'Big Data'," Economics Series Working Papers 905, University of Oxford, Department of Economics.
• Brunori, Paolo & Neidhöfer, Guido, 2020. "The evolution of inequality of opportunity in Germany: A machine learning approach," ZEW Discussion Papers 20-013, ZEW - Leibniz Centre for European Economic Research.
• Nataliia Ostapenko, 2020. "Identification Of Monetary Policy Shocks From Fomc Transcripts," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 123, Faculty of Economics and Business Administration, University of Tartu (Estonia).
• Ari, Anil & Ratnovski, Lev & Chen, Sophia, 2020. "The dynamics of non-performing loans during banking crises: a new database," Working Paper Series 2395, European Central Bank.
• Bachev, Hrabrin, 2020. "State, development and efficiency of digitalization in Bulgarian agriculture," MPRA Paper 99649, University Library of Munich, Germany.
• Amanda Bayer & Gregory Bruich & Raj Chetty & Andrew Housiaux, 2020. "Expanding and Diversifying the Pool of Undergraduates who Study Economics: Insights from a New Introductory Course at Harvard," NBER Working Papers 26961, National Bureau of Economic Research, Inc.
• Kenney, Martin & Serhan, Hiam & Trystram, Gilles, 2020. "Digitalization and Platforms in Agriculture: Organizations, Power Asymmetry, and Collective Action Solutions," ETLA Working Papers 78, The Research Institute of the Finnish Economy.
• Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry, 2020. "Robust Discovery of Regression Models," Economics Papers 2020-W04, Economics Group, Nuffield College, University of Oxford.
• Kaiser, Ulrich & Kuhn, Johan M., 2020. "The value of publicly available, textual and non-textual information for startup performance prediction," ZEW Discussion Papers 20-012, ZEW - Leibniz Centre for European Economic Research.