Report NEP-CMP-2017-07-23

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:

• J-F Mercure & H. Pollitt & N. R. Edwards & P. B. Holden & U. Chewpreecha & P. Salas & A. Lam & F. Knobloch & J. Vinuales, 2017. "Environmental impact assessment for climate change policy with the simulation-based integrated assessment model E3ME-FTT-GENIE," Papers 1707.04870, arXiv.org, revised Jan 2018.
• Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201707110700001022, Iowa State University, Department of Economics.
• Matthew F Dixon, 2017. "Sequence Classification of the Limit Order Book using Recurrent Neural Networks," Papers 1707.05642, arXiv.org.
• Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2017. "The R package MitISEM: Efficient and robust simulation procedures for Bayesian inference," Working Paper 2017/10, Norges Bank.
• Dietrich, Stephan & Malerba, Daniele & Barrientos, Armando & Gassmann, Franziska & Mohnen, Pierre & Tirivayi, Nyasha & Kavuma, Susan & Matovu, Fred, 2017. "Social protection investments, human capital, and income growth: Simulating the returns to social cash transfers in Uganda," MERIT Working Papers 2017-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
• Takaya Fukui & Akihiko Takahashi, 2017. ""Investment with deep learning" (in Japanese)," CIRJE J-Series CIRJE-J-287, CIRJE, Faculty of Economics, University of Tokyo.
• Sylvain Barde & Sander van der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Studies in Economics 1712, School of Economics, University of Kent.
• Kristoufek, Ladislav & Vošvrda, Miloslav S., 2016. "Herding, minority game, market clearing and efficient markets in a simple spin model framework," FinMaP-Working Papers 68, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Dominique Guegan & Bertrand Hassani, 2017. "Regulatory Learning: how to supervise machine learning models? An application to credit scoring," Documents de travail du Centre d'Economie de la Sorbonne 17034, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Xiaojiao Yu, 2017. "Machine learning application in online lending risk prediction," Papers 1707.04831, arXiv.org.