Report NEP-CMP-2020-03-16

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:

• Achref Bachouch & Côme Huré & Nicolas Langrené & Huyen Pham, 2020. "Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications," Post-Print hal-01949221, HAL.
• Fofana, Ismaël & Omolo, Miriam W. O. & Goundan, Anatole & Magne Domgho, Léa Vicky & Collins, Julia & Marti, Estefania, 2019. "NAIP toolkit for Malabo domestication: Economic modeling of agricultural growth and investment strategy, case study of Kenya," IFPRI discussion papers 1813, International Food Policy Research Institute (IFPRI).
• Kristoffer Andersson & Cornelis Oosterlee, 2020. "A deep learning approach for computations of exposure profiles for high-dimensional Bermudan options," Papers 2003.01977, arXiv.org, revised Sep 2020.
• Anton Gerunov, 2020. "Binary Classification Problems in Economics and 136 Different Ways to Solve Them," Bulgarian Economic Papers bep-2020-02, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Mar 2020.
• Foresti,Andrea, 2019. "Estimation of the ex ante Distribution of Returns for a Portfolio of U.S. Treasury Securities via Deep Learning," Policy Research Working Paper Series 8790, The World Bank.
• Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
• Radek Šauer, 2020. "Rotemberg and Imperfect Common Knowledge: A Solution Algorithm," CESifo Working Paper Series 8098, CESifo.
• Fan Fang & Waichung Chung & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & Fan Wu, 2020. "Ascertaining price formation in cryptocurrency markets with DeepLearning," Papers 2003.00803, arXiv.org.
• Nicolas Essis-Breton & Patrice Gaillardetz, 2020. "Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale," Papers 2002.11258, arXiv.org.
• Paolo Brunori & Guido Neidhofer, 2020. "The Evolution of Inequality of Opportunity in Germany: A Machine Learning Approach," Working Papers 514, ECINEQ, Society for the Study of Economic Inequality.
• Rodriguez Castelan,Carlos & Araar,Abdelkrim & Malasquez Carbonel,Eduardo Alonso & Olivieri,Sergio Daniel & Vishwanath,Tara, 2019. "Distributional Effects of Competition : A Simulation Approach," Policy Research Working Paper Series 8838, The World Bank.
• Paolo Verme, 2020. "Which Model for Poverty Predictions?," Working Papers 521, ECINEQ, Society for the Study of Economic Inequality.
• Michael Pinelis & David Ruppert, 2020. "Machine Learning Portfolio Allocation," Papers 2003.00656, arXiv.org, revised Nov 2021.
• Galdo,Virgilio & Li,Yue-000316086 & Rama,Martin G., 2020. "Identifying Urban Areas by Combining Human Judgment and Machine Learning : An Application to India," Policy Research Working Paper Series 0160, The World Bank.
• Helmut Farbmacher & Martin Huber & Luk'av{s} Laff'ers & Henrika Langen & Martin Spindler, 2020. "Causal mediation analysis with double machine learning," Papers 2002.12710, arXiv.org, revised Feb 2021.
• Christian S. Otchia & Simplice A. Asongu, 2019. "Industrial Growth in Sub-Saharan Africa: Evidence from Machine Learning with Insights from Nightlight Satellite Images," Research Africa Network Working Papers 19/046, Research Africa Network (RAN).
• Philipp F. M. Baumann & Michael Schomaker & Enzo Rossi, 2020. "Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation," Papers 2003.02208, arXiv.org, revised May 2021.
• Christian Garciga & Randal J. Verbrugge, 2020. "A New Tool for Robust Estimation and Identification of Unusual Data Points," Working Papers 20-08, Federal Reserve Bank of Cleveland.
• William C. Horrace & Hyunseok Jung & Shane Sanders, 2020. "Network Competition and Team Chemistry in the NBA," Center for Policy Research Working Papers 226, Center for Policy Research, Maxwell School, Syracuse University.