Report NEP-CMP-2018-02-12

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:

• Martin Cicowiez & Bernard Decaluwé & Mustapha Nabli, 2017. "Optimal policy design: A CGE approach," Working Papers MPIA 2017-07, PEP-MPIA.
• Sebastian Poledna & Stefan Hochrainer-Stigler & Michael Gregor Miess & Peter Klimek & Stefan Schmelzer & Johannes Sorger & Elena Shchekinova & Elena Rovenskaya & JoAnne Linnerooth-Bayer & Ulf Dieckman, 2018. "When does a disaster become a systemic event? Estimating indirect economic losses from natural disasters," Papers 1801.09740, arXiv.org.
• Benczur, Peter & Katay, Gabor & Kiss, Aron, 2017. "Assessing the Economic and Social Impact of Tax and Transfer System Reforms: A General Equilibrium Microsimulation Approach," JRC Working Papers in Economics and Finance 2017-09, Joint Research Centre, European Commission.
• Fischer, Thomas & Krauss, Christopher & Treichel, Alex, 2018. "Machine learning for time series forecasting - a simulation study," FAU Discussion Papers in Economics 02/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
• ARNOLD, Florian & SÖRENSEN, Kenneth, 2017. "A simple, deterministic, and efficient knowledge-driven heuristic for the vehicle routing problem," Working Papers 2017012, University of Antwerp, Faculty of Business and Economics.
• Luting Li & Hao Xing, 2018. "Capital allocation under the Fundamental Review of Trading Book," Papers 1801.07358, arXiv.org, revised Jan 2019.
• Nicolas Carnot & Stéphanie Pamies Sumner, 2017. "GDP-linked Bonds: Some Simulations on EU Countries," European Economy - Discussion Papers 073, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
• DE CNUDDE, Sofie & MARTENS, David & PROVOST, Foster, 2018. "An exploratory study towards applying and demystifying deep learning classification on behavioral big data," Working Papers 2018002, University of Antwerp, Faculty of Business and Economics.
• Nikitinsky, Nikita & Shashev, Sergey & Kachurina, Polina & Bespalov, Aleksander, 2016. "Big Data and Machine Learning in Government Projects: Expert Evaluation Case," MPRA Paper 82865, University Library of Munich, Germany.
• Zhang, Yongfeng & Zhang, Yi & Friedman, Daniel, 2017. "Economic recommendation based on pareto efficient resource allocation," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics SP II 2017-503, WZB Berlin Social Science Center.
• de Ruiter, Frans & Ben-Tal, A. & Brekelmans, Ruud & den Hertog, Dick, 2016. "Robust optimization of uncertain multistage inventory systems with inexact data in decision rules," Other publications TiSEM fc2ce516-9c34-4389-830f-f, Tilburg University, School of Economics and Management.