Report NEP-BIG-2021-01-04

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:

• Steffen Q. Mueller & Patrick Ring & Maria Fischer, 2020. "Excited and aroused: The predictive importance of simple choice process metrics," Working Papers 067, Chair for Economic Policy, University of Hamburg.
• Michela Bia & Martin Huber & Luk'av{s} Laff'ers, 2020. "Double machine learning for sample selection models," Papers 2012.00745, arXiv.org, revised Jul 2021.
• Juhee Bae & John Aoga & Stefanija Veljanoska & Siegfried Nijssen & Pierre Schaus, 2020. "Impact of Weather Factors on Migration Intention using Machine Learning Algorithms," LIDAM Discussion Papers IRES 2020034, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
• Nicholas Economides & Ioannis Lianos, 2021. "Privacy and antitrust in digital platforms," Working Papers 21-01, NET Institute.
• Drydakis, Nick, 2020. "Mobile applications aiming to facilitate immigrants’ societal integration and overall level of integration, health and mental health. Does artificial intelligence enhance outcomes?," GLO Discussion Paper Series 734, Global Labor Organization (GLO).
• Fabienne Kiener & Ann-Sophie Gnehm & Uschi Backes-Gellner, 2020. "Noncognitive Skills in Training Curricula and Nonlinear Wage Returns," Economics of Education Working Paper Series 0175, University of Zurich, Department of Business Administration (IBW).
• Aaron Wray & Matthew Meades & Dave Cliff, 2020. "Automated Creation of a High-Performing Algorithmic Trader via Deep Learning on Level-2 Limit Order Book Data," Papers 2012.00821, arXiv.org.
• Kim Nguyen & Gianni La Cava, 2020. "Start Spreading the News: News Sentiment and Economic Activity in Australia," RBA Research Discussion Papers rdp2020-08, Reserve Bank of Australia.
• Singh, Gaurav Kumar, 2020. "Expectations formation of household inflation expectations in India," IIMA Working Papers WP 2020-12-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
• Elena Ivona DUMITRESCU & Sullivan HUE & Christophe HURLIN & Sessi TOKPAVI, 2020. "Machine Learning or Econometrics for Credit Scoring: Let’s Get the Best of Both Worlds," LEO Working Papers / DR LEO 2839, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
• ATIK Can & MARTENS Bertin, 2020. "Competition Problems and Governance of Non-personal Agricultural Machine Data: Comparing Voluntary Initiatives in the US and EU," JRC Working Papers on Digital Economy 2020-07, Joint Research Centre.
• Gordon Myers & Kiril Nejkov, 2020. "Developing Artificial Intelligence Sustainably," World Bank Publications - Reports 33613, The World Bank Group.