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Report NEP-BIG-2019-01-28
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:
- Schnaubelt, Matthias & Fischer, Thomas G. & Krauss, Christopher, 2018, "Separating the signal from the noise - financial machine learning for Twitter," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 14/2018.
- Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019, "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 2/2019.
- Michela Giorcelli & Nicola Lacetera & Astrid Marinoni, 2019, "How Does Scientific Progress Affect Cultural Changes? A Digital Text Analysis," NBER Working Papers, National Bureau of Economic Research, Inc, number 25429, Jan.
- Amankwah-Amoah, Joseph, 2019, "Big data analytics and business failures in data-Rich environments: An organizing framework," MPRA Paper, University Library of Munich, Germany, number 91264, Jan.
- Maryna Zenkova & Robert Ślepaczuk, 2019, "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2019-02.
- Hills, Thomas & Proto, Eugenio & Sgroi, Daniel, 2019, "Historical Analysis of National Subjective Wellbeing using millions of Digitized Books," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1186.
- Sturm, Silke, 2019, "Political Competition: How to Measure Party Strategy in Direct Voter Communication using Social Media Data?," Hamburg Discussion Papers in International Economics, University of Hamburg, Department of Economics, number 1.
- Julika Herzberg, 2019, "Protection and Profit: Empirical Evidence of Governmental and Market-based Forest Policies," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 201901.
- Yiran Fan, 2018, "Weapon-Carrying among High School Students: A Predictive Model Using Machine Learning," Proceedings of the 11th International RAIS Conference, November 19-20, 2018, Research Association for Interdisciplinary Studies, number 051YF, Nov.
- Item repec:imf:imfwpa:18/274 is not listed on IDEAS anymore
- Stelios Michalopoulos & Melanie Meng Xue, 2019, "Folklore," NBER Working Papers, National Bureau of Economic Research, Inc, number 25430, Jan.