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Report NEP-CMP-2019-04-22
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:
- Andrew Feltenstein & Mark Rider & David L. Sjoquist & John V. Winters, 2019, "The Impact of Interstate Mobility on the Effectiveness of Property Tax Reduction in Georgia," Center for State and Local Finance Working Paper Series, Andrew Young School of Policy Studies, Georgia State University, number cslf1907, Apr.
- Pauline Affeldt, 2019, "EU Merger Policy Predictability Using Random Forests," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1800.
- Hieu Quang Nguyen & Abdul Hasib Rahimyar & Xiaodi Wang, 2019, "Stock Forecasting using M-Band Wavelet-Based SVR and RNN-LSTMs Models," Papers, arXiv.org, number 1904.08459, Apr.
- Justin Sirignano & Rama Cont, 2018, "Universal features of price formation in financial markets: perspectives from Deep Learning," Working Papers, HAL, number hal-01754054, Mar.
- Li, Chunding & Wang, Jing & Whalley, John, 2019, "Trade Protectionism and US Manufacturing Employment," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 410.
- Thompson, Erica L. & Smith, Leonard A., 2019, "Escape from model-land," Economics Discussion Papers, Kiel Institute for the World Economy, number 2019-23.
- António Sousa Mendes & Pedro Godinho, 2019, "NIESIM: A Simulation-based Application for Estimating the Value of Information in Mobile Network Management," CeBER Working Papers, Centre for Business and Economics Research (CeBER), University of Coimbra, number 2019-03, Apr.
- Bing Yu & Xiaojing Xing & Agus Sudjianto, 2019, "Deep-learning based numerical BSDE method for barrier options," Papers, arXiv.org, number 1904.05921, Apr.
- Seyed Soheil Hosseini & Nick Wormald & Tianhai Tian, 2019, "A Weight-based Information Filtration Algorithm for Stock-Correlation Networks," Papers, arXiv.org, number 1904.06007, Apr.
- Caferra, Rocco & Morone, Andrea, 2019, "Tax Morale and Perceived Intergenerational Mobility: a Machine Learning Predictive Approach," MPRA Paper, University Library of Munich, Germany, number 93171, Apr.
- Fügener, A. & Grahl, J. & Gupta, A. & Ketter, W., 2019, "Cognitive challenges in human-AI collaboration: Investigating the path towards productive delegation," ERIM Report Series Research in Management, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam, number ERS-2019-003-LIS, Apr.
- Jan Abrell & Mirjam Kosch & Sebastian Rausch, 2019, "How Effective Was the UK Carbon Tax? — A Machine Learning Approach to Policy Evaluation," CER-ETH Economics working paper series, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich, number 19/317, Apr.
- Sauvey, Christophe & Melo, Teresa & Correia, Isabel, 2019, "Two-phase heuristics for a multi-period capacitated facility location problem with service-differentiated customers," Technical Reports on Logistics of the Saarland Business School, Saarland University of Applied Sciences (htw saar), Saarland Business School, number 16.
- Marco Rogna & Günter Schamel & Alex Weissensteiner, 2019, "Choosing between Hail Insurance and Anti-Hail Nets: A Simple Model and a Simulation among Apples Producers in South Tyrol," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS62, Apr.