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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. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, PEP-MPIA, number 2017-07.
- 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, arXiv.org, number 1801.09740, Jan.
- 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, Joint Research Centre, European Commission, number 2017-09, Nov.
- Fischer, Thomas & Krauss, Christopher & Treichel, Alex, 2018, "Machine learning for time series forecasting - a simulation study," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 02/2018.
- ARNOLD, Florian & SÖRENSEN, Kenneth, 2017, "A simple, deterministic, and efficient knowledge-driven heuristic for the vehicle routing problem," Working Papers, University of Antwerp, Faculty of Business and Economics, number 2017012, Dec.
- Luting Li & Hao Xing, 2018, "Capital allocation under the Fundamental Review of Trading Book," Papers, arXiv.org, number 1801.07358, Jan, revised Jan 2019.
- Nicolas Carnot & Stéphanie Pamies Sumner, 2017, "GDP-linked Bonds: Some Simulations on EU Countries," European Economy - Discussion Papers, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 073, Dec.
- DE CNUDDE, Sofie & MARTENS, David & PROVOST, Foster, 2018, "An exploratory study towards applying and demystifying deep learning classification on behavioral big data," Working Papers, University of Antwerp, Faculty of Business and Economics, number 2018002, Jan.
- Nikitinsky, Nikita & Shashev, Sergey & Kachurina, Polina & Bespalov, Aleksander, 2016, "Big Data and Machine Learning in Government Projects: Expert Evaluation Case," MPRA Paper, University Library of Munich, Germany, number 82865, Jul.
- Zhang, Yongfeng & Zhang, Yi & Friedman, Daniel, 2017, "Economic recommendation based on pareto efficient resource allocation," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics, WZB Berlin Social Science Center, number SP II 2017-503.
- 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, Tilburg University, School of Economics and Management, number fc2ce516-9c34-4389-830f-f.