Report NEP-BIG-2020-10-12

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:

• Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.
• Lingli Wang & Ni Huang & Yili Hong & Luning Liu & Xunhua Guo, 2020. "Effects of Voice-Based Artificial Intelligence (AI) in Customer Service: Evidence from a Natural Experiment," Working Papers 20-07, NET Institute.
• Cuong Nguyen & Ilan Noy & Dag Einar Sommervoll & Fang Yao, 2020. "Redrawing of a Housing Market: Insurance Payouts and Housing Market Recovery in the Wake of the Christchurch Earthquake of 2011," CESifo Working Paper Series 8560, CESifo.
• Costola, Michele & Nofer, Michael & Hinz, Oliver & Pelizzon, Loriana, 2020. "Machine learning sentiment analysis, Covid-19 news and stock market reactions," SAFE Working Paper Series 288, Leibniz Institute for Financial Research SAFE.
• Riccardo Righi & Montserrat Lopez-Cobo & Georgios Alaveras & Sofia Samoili & Melisande Cardona & Miguel Vazquez-Prada Baillet & Lukasz Ziemba & Giuditta De-Prato, 2020. "Academic Offer of Advanced Digital Skills in 2019-20. International Comparison. Focus on Artificial Intelligence, High Performance Computing, Cybersecurity and Data Science," JRC Research Reports JRC121680, Joint Research Centre.
• Rotem Zelingher & David Makowski & Thierry Brunelle, 2020. "Forecasting impacts of Agricultural Production on Global Maize Price [Prévision des impacts de la production agricole sur les prix mondiaux du maïs]," Working Papers hal-02945775, HAL.
• Gambetti, Paolo & Roccazzella, Francesco & Vrins, Frédéric, 2020. "Meta-learning approaches for recovery rate prediction," LIDAM Discussion Papers LFIN 2020007, Université catholique de Louvain, Louvain Finance (LFIN).
• Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and Monetary Policy during Extreme Events," CESifo Working Paper Series 8561, CESifo.
• Julia Gilhodes & Florence Dalenc & Jocelyn Gal & Christophe Zemmour & Eve Leconte & Jean Marie Boher & Thomas Filleron, 2020. "Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings," Post-Print hal-02934793, HAL.
• Lucrezia Fanti & Dario Guarascio & Massimo Moggi, 2020. "The development of AI and its impact on business models, organization and work," LEM Papers Series 2020/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Bellotti, Anthony & Brigo, Damiano & Gambetti, Paolo & Vrins, Frédéric, 2020. "Forecasting recovery rates on non-performing loans with machine learning," LIDAM Discussion Papers LFIN 2020002, Université catholique de Louvain, Louvain Finance (LFIN).
• Roccazzella, Francesco & Gambetti, Paolo & Vrins, Frédéric, 2020. "Optimal and robust combination of forecasts via constrained optimization and shrinkage," LIDAM Discussion Papers LFIN 2020006, Université catholique de Louvain, Louvain Finance (LFIN).
• Caperna, Giulio & Colagrossi, Marco & Geraci, Andrea & Mazzarella, Gianluca, 2020. "Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data," Working Papers 2020-04, Joint Research Centre, European Commission.
• Saikai, Yuji & Patel, Vivak & Mitchell, Paul, 2020. "Machine learning for optimizing complex site-specific management," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305238, Australian Agricultural and Resource Economics Society.
• Obradovich, Nick & Özak, Ömer & Martín, Ignacio & Awad, Edmond & Cebrián, Manuel & Cuevas, Rubén & Desmet, Klaus & Rahwan, Iyad & Cuevas, Ángel, 2020. "Expanding the Measurement of Culture with a Sample of Two Billion Humans," IZA Discussion Papers 13735, Institute of Labor Economics (IZA).