Report NEP-CMP-2019-02-04

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:

• Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
• Zhiyi Shen & Chengguo Weng, 2019. "A Backward Simulation Method for Stochastic Optimal Control Problems," Papers 1901.06715, arXiv.org.
• Blanka Horvath & Aitor Muguruza & Mehdi Tomas, 2019. "Deep Learning Volatility," Papers 1901.09647, arXiv.org, revised Aug 2019.
• Ermanno Catullo & Federico Giri & Mauro Gallegati, 2019. "Macro and Micro Prudential Policies: Sweet and Lowdown in a Credit Network Agent Based Model," Working Papers 434, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
• Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2017. "The effects of labour market reforms upon unemployment and income inequlities : an agent based model," Sciences Po publications info:hdl:2441/3kbkotqp1b8, Sciences Po.
• Kinne, Jan & Lenz, David, 2019. "Predicting innovative firms using web mining and deep learning," ZEW Discussion Papers 19-001, ZEW - Leibniz Centre for European Economic Research.
• Tommaso Ciarli & Maria Savona, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," SPRU Working Paper Series 2019-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
• M. Indra al Irsyad & Anthony Halog & Rabindra Nepal, 2019. "Estimating the impacts of financing support policies towards photovoltaic market in Indonesia: A social-energy-economy-environment (SE3) model simulation," CAMA Working Papers 2019-02, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Ensslen, Axel & Ringler, Philipp & Dörr, Lasse & Jochem, Patrick & Zimmermann, Florian & Fichtner, Wolf, 2018. "Incentivizing smart charging: Modeling charging tariffs for electric vehicles in German and French electricity markets," MPRA Paper 91543, University Library of Munich, Germany, revised 17 Feb 2018.
• Nikolaos Passalis & Anastasios Tefas & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019. "Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data," Papers 1901.08280, arXiv.org.
• Elena Green & Daniel M. Heffernan, 2019. "An Agent-Based Model to Explain the Emergence of Stylised Facts in Log Returns," Papers 1901.05053, arXiv.org.
• M. Rouhani, Omid, 2019. "Transportation Project Evaluation Methods/Approaches," MPRA Paper 91451, University Library of Munich, Germany.
• Steven Kivinen, 2017. "Unemployment Volatility and Networks," Working Papers daleconwp2017-02, Dalhousie University, Department of Economics.
• Alda, Erik, 2019. "Does Size influence Jail Efficiency?: A Metafrontier analyisis of local Jails in the United States," MPRA Paper 91803, University Library of Munich, Germany.
• Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
• Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "The labour-augmented K+S model : a laboratory for the analysis of institutional and policy regimes," SciencePo Working papers Main hal-03443457, HAL.