Report NEP-CMP-2017-09-10

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:

• Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
• Salim Rostami & Stefan Creemers & Roel Leus, 2017. "Precedence theorems and dynamic programming for the single-machine weighted tardiness problem," Working Papers of Department of Decision Sciences and Information Management, Leuven 590520, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
• Johanna Choumert & Pascale Combes Motel & Charlain Guegang, 2017. "The Biofuel-Development Nexus: A Meta-Analysis," Working Papers 2017.04, FAERE - French Association of Environmental and Resource Economists.
• Long Chu & Hoa-Thi-Minh Nguyen & Tom Kompas & Khoi Dang & Trinh Bui, 2017. "Optimal rice land protection in a command economy," Crawford School Research Papers 1707, Crawford School of Public Policy, The Australian National University.
• Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2017. "Market entry waves and volatility outbursts in stock markets," BERG Working Paper Series 128, Bamberg University, Bamberg Economic Research Group.
• Jean-Bernard Chatelain & Kirsten Ralf, 2019. "A Simple Algorithm for Solving Ramsey Optimal Policy with Exogenous Forcing Variables," PSE Working Papers hal-01577606, HAL.
• Milad Ghaisi & Milad Rahmani & Pedram Gharghabi & Ali Zoghi & Seyed Hossein Hosseinian, 2017. "Scheduling a Wind Hydro-Pumped-Storage Unit Considering the Economical Optimization," Post-Print hal-01478231, HAL.
• Sidhu, A. & Pollitt, M. & Anaya, K., 2017. "A Social Cost Benefit Analysis of Grid-Scale Electrical Energy Storage Projects: Evaluating the Smarter Network Storage Project," Cambridge Working Papers in Economics 1722, Faculty of Economics, University of Cambridge.
• Duque, Juan Carlos & Patino, Jorge Eduardo & Betancourt, Alejandro, 2016. "Exploring the Potential of Machine Learning for Automatic Slum Identification from VHE Imagery," Research Department working papers 975, CAF Development Bank Of Latinamerica.
• Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.