Report NEP-CMP-2021-12-13

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:

• Matthias Hettich, 2021. "Algorithmic Collusion: Insights from Deep Learning," CQE Working Papers 9421, Center for Quantitative Economics (CQE), University of Muenster.
• Baaken, Dominik & Hess, Sebastian, 2021. "Forecasting Regional Milk Production Quantity: A Comparison of Regression Models and Machine Learning," 2021 Conference, August 17-31, 2021, Virtual 315117, International Association of Agricultural Economists.
• Hui Chen & Antoine Didisheim & Simon Scheidegger, 2021. "Deep Structural Estimation:With an Application to Option Pricing," Cahiers de Recherches Economiques du Département d'économie 21.14, Université de Lausanne, Faculté des HEC, Département d’économie.
• Jiangwei Liu & Xiaohong Huang, 2021. "Forecasting Crude Oil Price Using Event Extraction," Papers 2111.09111, arXiv.org.
• Rajka Hrbić & Tomislav Grebenar, 2021. "Assessment of Readiness of Croatian Companies to Introduce I4.0 Technologies," Working Papers 63, The Croatian National Bank, Croatia.
• Ali Bayar & Barbara Bratta & Silvia Carta & Paolo Di Caro & Marco Manzo & Carlo Orecchia, 2021. "Assessing the effects of VAT policies with an integrated CGE-microsimulation approach: evidence on Italy," Working Papers wp2021-14, Ministry of Economy and Finance, Department of Finance.
• Narayanan, Sridhar & Kalyanam, Kirthi, 2021. "Machine Learning, Behavioral Targeting and Regression Discontinuity Designs," Research Papers 3992, Stanford University, Graduate School of Business.
• Xiao-Yang Liu & Hongyang Yang & Jiechao Gao & Christina Dan Wang, 2021. "FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance," Papers 2111.09395, arXiv.org.
• D'ANDRIA Diego & DEBACKER Jason & EVANS Richard W. & PYCROFT Jonathan & ZACHLOD-JELEC Magdalena, 2021. "Taxing income or consumption: macroeconomic and distributional effects for Italy," JRC Working Papers on Taxation & Structural Reforms 2021-13, Joint Research Centre.
• Paul Malliet & Frédéric Reynés & Gissela Landa & Meriem Hamdi-Cherif & Aurélien Saussay, 2020. "Assessing Short‑Term and Long‑Term Economic and Environmental Effects of the COVID‑19 Crisis in France," Post-Print hal-03403038, HAL.
• Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Chao Zhang & Zihao Zhang & Mihai Cucuringu & Stefan Zohren, 2021. "A Universal End-to-End Approach to Portfolio Optimization via Deep Learning," Papers 2111.09170, arXiv.org.
• Thierry Mayer & Hillel Rapoport & Camilo Umana Dajud, 2021. "Free Trade Agreements and the Movement of Business People," Working Papers 2021-10, CEPII research center.
• Krishnamurthy, Sanath Kumar & Athey, Susan, 2021. "Optimal Model Selection in Contextual Bandits with Many Classes via Offline Oracles," Research Papers 3971, Stanford University, Graduate School of Business.
• Mr. Michael Gorbanyov & Majid Malaika & Tahsin Saadi Sedik, 2021. "Quantum Computing and the Financial System: Spooky Action at a Distance?," IMF Working Papers 2021/071, International Monetary Fund.
• Nikitas Stamatopoulos & Guglielmo Mazzola & Stefan Woerner & William J. Zeng, 2021. "Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms," Papers 2111.12509, arXiv.org, revised Jul 2022.
• Kea BARET, 2021. "Fiscal rules’ compliance and Social Welfare," Working Papers of BETA 2021-50, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.