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Report NEP-BIG-2018-07-23
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:
- Korobilis, Dimitris, 2018, "Machine Learning Macroeconometrics A Primer," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 22666, Jul.
- Timo Klein, 2018, "Autonomous Algorithmic Collusion: Q-Learning Under Sequantial Pricing," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 18-056/VII, Jun, revised 01 Nov 2020.
- Yu-Long Zhou & Ren-Jie Han & Qian Xu & Wei-Ke Zhang, 2018, "Long Short-Term Memory Networks for CSI300 Volatility Prediction with Baidu Search Volume," Papers, arXiv.org, number 1805.11954, May.
- Victor Chernozhukov & Whitney K. Newey & James Robins, 2018, "Double/de-biased machine learning using regularized Riesz representers," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP15/18, Mar.
- Paridhi Choudhary & Aniket Jain & Rahul Baijal, 2018, "Unravelling Airbnb Predicting Price for New Listing," Papers, arXiv.org, number 1805.12101, May.
- Fabio D'Orlando, 2018, "Problems, solutions and new problems with the third wave of technological unemployment," Working Papers, Universita' di Cassino, Dipartimento di Economia e Giurisprudenza, number 2018-02, Jul.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018, "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, number 2018-09, Mar.
- Johannes Berens & Simon Oster & Kerstin Schneider & Julian Burghoff, 2018, "Early Detection of Students at Risk - Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods," Schumpeter Discussion Papers, Universitätsbibliothek Wuppertal, University Library, number sdp18006, Jul.