Printed from https://ideas.repec.org/n/nep-big/2018-03-05.html
Report NEP-BIG-2018-03-05
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:
- Paolo Brunori & Paul Hufe & Daniel Gerszon Mahler, 2017, "The Roots of Inequality: Estimating Inequality of Opportunity from Regression Trees," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2017_18.rdf.
- Paul R. Milgrom & Steven Tadelis, 2018, "How Artificial Intelligence and Machine Learning Can Impact Market Design," NBER Working Papers, National Bureau of Economic Research, Inc, number 24282, Feb.
- Michel André Maréchal & Alain Cohn & Tobias Gesche, 2018, "Honesty in the digital age," ECON - Working Papers, Department of Economics - University of Zurich, number 280, Feb, revised Dec 2020.
- Jia, Kai & Kenney, Martin & Mattila, Juri & Seppälä, Timo, 2018, "The Application of Artificial Intelligence at Chinese Digital Platform Giants: Baidu, Alibaba and Tencent," ETLA Reports, The Research Institute of the Finnish Economy, number 81, Feb.
- Domenico Lombardi, Pierre Siklos, Samantha St. Amand, 2018, "Asset Price Spillovers From Unconventional Monetary Policy: A Global Empirical Perspective," LCERPA Working Papers, Laurier Centre for Economic Research and Policy Analysis, number 0109, Jan, revised 30 Jan 2018.
- Juergen Bitzer & Erkan Goeren, 2018, "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers, University of Oldenburg, Department of Economics, number V-407-18, Mar, revised Mar 2018.
- Item repec:bof:bofitp:2018_004 is not listed on IDEAS anymore
- Oecd, 2018, "Bridging the rural digital divide," OECD Digital Economy Papers, OECD Publishing, number 265, Feb, DOI: 10.1787/852bd3b9-en.
- Rangan Gupta & Christian Pierdzioch & Andrew J. Vivian & Mark E. Wohar, 2018, "The Predictive Value of Inequality Measures for Stock Returns: An Analysis of Long-Span UK Data Using Quantile Random Forests," Working Papers, University of Pretoria, Department of Economics, number 201809, Feb.
- Martin Iglesias Caride & Aurelio F. Bariviera & Laura Lanzarini, 2018, "Stock returns forecast: an examination by means of Artificial Neural Networks," Papers, arXiv.org, number 1801.07960, Jan.
- Item repec:rim:rimwps:18-05 is not listed on IDEAS anymore
- Tamaki MORITA & Shunsuke MANAGI, 2018, "Autonomous Vehicles in Japan: Latent demand and social dilemma (Japanese)," Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 18004, Jan.