Report NEP-CMP-2017-11-26

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan Miles issued this report. It is usually issued weekly.

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Other reports in NEP-CMP

The following items were announced in this report:

• Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
• Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2017. "Inequality, Redistributive Policies and multipliers dynamics in an agent based model with Credit rationing," Documents de Travail de l'OFCE 2017-06, Observatoire Francais des Conjonctures Economiques (OFCE).
• Ariel Navon & Yosi Keller, 2017. "Financial Time Series Prediction Using Deep Learning," Papers 1711.04174, arXiv.org.
• Vadim Voskresenskiy & Ilya Musabirov & Daniel Alexandrov, 2017. "Studying Patterns of Communication in Virtual Urban Groups with Different Modes of Privacy," HSE Working papers WP BRP 75/SOC/2017, National Research University Higher School of Economics.
• Yaroslav Rosokha & Kenneth Younge, 2017. "Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist," Purdue University Economics Working Papers 1301, Purdue University, Department of Economics.
• Bowen Cai, 2017. "Customer Selection Model with Grouping and Hierarchical Ranking Analysis," Papers 1711.05598, arXiv.org.