Report NEP-CMP-2020-10-05
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.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-CMP
The following items were announced in this report:
- Fraunholz, Christoph & Kraft, Emil & Keles, Dogan & Fichtner, Wolf, 2020. "The merge of two worlds: Integrating artificial neural networks into agent-based electricity market simulation," Working Paper Series in Production and Energy 45, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
- Hao, Peng & Wei, Zhensong & Bai, Zhengwei & Barth, Matthew, 2020. "An Adaptive Strategy for Connected Eco-Driving under Uncertain Traffic and Signal Conditions," Institute of Transportation Studies, Working Paper Series qt0bd7g3cz, Institute of Transportation Studies, UC Davis.
- Böhringer, Christoph & Rosendahl, Knut Einar, 2020. "Europe Beyond Coal – An Economic and Climate Impact Assessment," Working Paper Series 5-2020, Norwegian University of Life Sciences, School of Economics and Business.
- Ivo Bakota, 2020. "Avoiding Root-Finding in the Krusell-Smith Algorithm Simulation," CERGE-EI Working Papers wp669, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Xuejin Zuo & Xiujian Peng & Xin Yang & Philip Adams & Meifeng Wang, 2020. "Population Ageing and the Impact of Later Retirement on the Pension System in China: An Applied Dynamic General Equilibrium Analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-303, Victoria University, Centre of Policy Studies/IMPACT Centre.
- Marc-Aurèle Divernois, 2020. "A Deep Learning Approach to Estimate Forward Default Intensities," Swiss Finance Institute Research Paper Series 20-79, Swiss Finance Institute.
- Feng Shenghao & Philip Adams & Zhang Keyu & Peng Xiujian & Yang Jun, 2020. "Economic Implications of Global Energy Interconnection," Centre of Policy Studies/IMPACT Centre Working Papers g-307, Victoria University, Centre of Policy Studies/IMPACT Centre.
- Bernadett Aradi & G'abor Petneh'azi & J'ozsef G'all, 2020. "Volatility Forecasting with 1-dimensional CNNs via transfer learning," Papers 2009.05508, arXiv.org.
- Maarten Buis, 2020. "Agent based models in Mata: Modelling aggregate processes, like the spread of a disease," London Stata Conference 2020 03, Stata Users Group.
- Darvay, Zsolt & Illés, Tibor & Rigó, Petra Renáta, 2020. "Predictor-corrector interior-point algorithm for sufficient linear complementarity problems based on a new type of algebraic equivalent transformation technique," Corvinus Economics Working Papers (CEWP) 2020/03, Corvinus University of Budapest.
- Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
- Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
- Majid M. Al-Sadoon, 2020. "Regularized Solutions to Linear Rational Expectations Models," Papers 2009.05875, arXiv.org, revised Oct 2020.
- Johnson, Justin Pappas & Rhodes, Andrew & Wildenbeest, Matthijs, 2020. "Platform Design when Sellers Use Pricing Algorithms," TSE Working Papers 20-1146, Toulouse School of Economics (TSE).
- Martin Spielauer & Thomas Horvath & Marian Fink, 2020. "microWELT: A Dynamic Microsimulation Model for the Study of Welfare Transfer Flows in Ageing Societies from a Comparative Welfare State Perspective," WIFO Working Papers 609, WIFO.
- Diego Zabaljauregui, 2020. "Optimal market making under partial information and numerical methods for impulse control games with applications," Papers 2009.06521, arXiv.org.
- Philippe van Kerm, 2020. "Fancy graphics: Force-directed diagrams," London Stata Conference 2020 09, Stata Users Group.
- Jules H. van Binsbergen & Xiao Han & Alejandro Lopez-Lira, 2020. "Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases," NBER Working Papers 27843, National Bureau of Economic Research, Inc.
- Eric B. Budish, 2020. "R," Working Papers 2020-31, Becker Friedman Institute for Research In Economics.