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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 (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:
- 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), Bank of Italy, Economic Research and International Relations Area, number 1209, Feb.
- Ki Young Park & Youngjoon Lee & Soohyon Kim, 2019, "Deciphering Monetary Policy Board Minutes through Text Mining Approach: The Case of Korea," Working Papers, Economic Research Institute, Bank of Korea, number 2019-1, Jan.
- André Binette & Dmitri Tchebotarev, 2019, "Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?," Staff Analytical Notes, Bank of Canada, number 2019-5, Feb, DOI: 10.34989/san-2019-5.
- Item repec:iab:iabfda:201803_en is not listed on IDEAS anymore
- Victor Chernozhukov & Vira Semenova, 2018, "Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP40/18, Jul.
- Lineth Rodríguez & Mihalis Giannakis & Catherine da Cunha, 2018, "Investigating the Enablers of Big Data Analytics on Sustainable Supply Chain," Post-Print, HAL, number hal-01982533, Mar.
- 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), Bank of Italy, Economic Research and International Relations Area, number 1206, Feb.
- Klaus Gründler & Tommy Krieger, 2019, "Should We Care (More) About Data Aggregation? Evidence from Democracy Indices," CESifo Working Paper Series, CESifo, number 7480.
- Jakub Growiec, 2019, "The Hardware-Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," KAE Working Papers, Warsaw School of Economics, Collegium of Economic Analysis, number 2019-042, Feb, DOI: 10.33119/kaewps2019042.
- E Colonnelli & J.A. Gallego & M Prem, 2019, "What predicts corruption?," Documentos de Trabajo, Universidad del Rosario, number 17144, Feb.
- Weber, Regine & Lukas, Kornher, , "Can one improve now-casts of crop prices in Africa? Google can," Discussion Papers, University of Bonn, Center for Development Research (ZEF), number 283564, DOI: 10.22004/ag.econ.283564.
- Chariton Chalvatzis & Dimitrios Hristu-Varsakelis, 2019, "High-performance stock index trading: making effective use of a deep LSTM neural network," Papers, arXiv.org, number 1902.03125, Feb, revised May 2019.
- Alicia García-Herrero & Jianwei Xu, 2019, "Countries’ perceptions of China’s Belt and Road Initiative- A big data analysis," Bruegel Working Papers, Bruegel, number 29318, Feb.
- Maryam Farboodi & Roxana Mihet & Thomas Philippon & Laura Veldkamp, 2019, "Big Data and Firm Dynamics," NBER Working Papers, National Bureau of Economic Research, Inc, number 25515, Jan.
- Santiago Fernández de Lis & Pablo Urbiola, 2019, "Digital transformation and finance sector competition," Working Papers, BBVA Bank, Economic Research Department, number 19/02, Jan.
- Simon F'ecamp & Joseph Mikael & Xavier Warin, 2019, "Risk management with machine-learning-based algorithms," Papers, arXiv.org, number 1902.05287, Feb, revised Aug 2020.
- Paolo Andreini & Donato Ceci, 2019, "A Horse Race in High Dimensional Space," CEIS Research Paper, Tor Vergata University, CEIS, number 452, Feb, revised 14 Feb 2019.