Report NEP-BIG-2019-02-18

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:

• Fritz Schiltz & Paolo Sestito & Tommaso Agasisti & Kristof De Witte, 2019. "The added value of more accurate predictions for school rankings," Temi di discussione (Economic working papers) 1209, Bank of Italy, Economic Research and International Relations Area.
• Ki Young Park & Youngjoon Lee & Soohyon Kim, 2019. "Deciphering Monetary Policy Board Minutes through Text Mining Approach: The Case of Korea," Working Papers 2019-1, Economic Research Institute, Bank of Korea.
• André Binette & Dmitri Tchebotarev, 2019. "Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?," Staff Analytical Notes 2019-5, Bank of Canada.
• Dorner, Matthias & Harhoff, Dietmar & Gaessler, Fabian & Hoisl, Karin & Poege, Felix, 2019. "Linked Inventor Biography Data 1980-2014 : (INV-BIO ADIAB 8014)," FDZ Datenreport. Documentation on Labour Market Data 201803_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
• Victor Chernozhukov & Vira Semenova, 2018. "Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions," CeMMAP working papers CWP40/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Lineth Rodríguez & Mihalis Giannakis & Catherine da Cunha, 2018. "Investigating the Enablers of Big Data Analytics on Sustainable Supply Chain," Post-Print hal-01982533, HAL.
• Monica Andini & Michela Boldrini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Andrea Paladini, 2019. "Machine learning in the service of policy targeting: the case of public credit guarantees," Temi di discussione (Economic working papers) 1206, Bank of Italy, Economic Research and International Relations Area.
• Klaus Gründler & Tommy Krieger, 2019. "Should We Care (More) About Data Aggregation? Evidence from Democracy Indices," CESifo Working Paper Series 7480, CESifo.
• Jakub Growiec, 2019. "The Hardware-Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," KAE Working Papers 2019-042, Warsaw School of Economics, Collegium of Economic Analysis.
• Colonnelli, E & Gallego, J.A. & Prem, M, 2019. "What predicts corruption?," Documentos de Trabajo 17144, Universidad del Rosario.
• Weber, Regine & Lukas, Kornher, 2019. "Can one improve now-casts of crop prices in Africa? Google can," Discussion Papers 283564, University of Bonn, Center for Development Research (ZEF).
• Chariton Chalvatzis & Dimitrios Hristu-Varsakelis, 2019. "High-performance stock index trading: making effective use of a deep LSTM neural network," Papers 1902.03125, arXiv.org, revised May 2019.
• Alicia García-Herrero & Jianwei Xu, 2019. "Countries’ perceptions of China’s Belt and Road Initiative- A big data analysis," Working Papers 29318, Bruegel.
• Maryam Farboodi & Roxana Mihet & Thomas Philippon & Laura Veldkamp, 2019. "Big Data and Firm Dynamics," NBER Working Papers 25515, National Bureau of Economic Research, Inc.
• Santiago Fernández de Lis & Pablo Urbiola, 2019. "Digital transformation and finance sector competition," Working Papers 19/02, BBVA Bank, Economic Research Department.
• Simon F'ecamp & Joseph Mikael & Xavier Warin, 2019. "Risk management with machine-learning-based algorithms," Papers 1902.05287, arXiv.org, revised Aug 2020.
• Paolo Andreini & Donato Ceci, 2019. "A Horse Race in High Dimensional Space," CEIS Research Paper 452, Tor Vergata University, CEIS, revised 14 Feb 2019.