Report NEP-CMP-2022-07-18

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:

• Zachary Feinstein & Birgit Rudloff, 2022. "Deep Learning the Efficient Frontier of Convex Vector Optimization Problems," Papers 2205.07077, arXiv.org, revised May 2024.
• Krikamol Muandet, 2022. "Impossibility of Collective Intelligence," Papers 2206.02786, arXiv.org.
• Vitezslav Titl & Fritz Schiltz, 2021. "Identifying Politically Connected Firms: A Machine Learning Approach," Working Papers 2110, Utrecht School of Economics.
• Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," SciencePo Working papers halshs-03231786, HAL.
• Qizhao Chen & Vasilis Syrgkanis & Morgane Austern, 2022. "Debiased Machine Learning without Sample-Splitting for Stable Estimators," Papers 2206.01825, arXiv.org, revised Nov 2022.
• Lucrezia Fanti & Marcelo C. Pereira & Maria Enrica Virgillito, 2022. "The North-South divide: sources of divergence, policies for convergence," DISCE - Quaderni del Dipartimento di Politica Economica dipe0027, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
• Laurence Barry & Arthur Charpentier, 2022. "The Fairness of Machine Learning in Insurance: New Rags for an Old Man?," Papers 2205.08112, arXiv.org.
• Juan Carlos Escanciano & Joel Robert Terschuur, 2022. "Machine Learning Inference on Inequality of Opportunity," Papers 2206.05235, arXiv.org, revised Oct 2023.
• Ekaterina Oparina & Caspar Kaiser & Niccol`o Gentile & Alexandre Tkatchenko & Andrew E. Clark & Jan-Emmanuel De Neve & Conchita D'Ambrosio, 2022. "Human Wellbeing and Machine Learning," Papers 2206.00574, arXiv.org.
• Koen W. de Bock & Arno de Caigny, 2021. "Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling," Post-Print hal-03391564, HAL.
• John Gilbert & Onur A. Koska & Reza Oladi, 2022. "Building and Using Nonlinear Excel Simulations: An Application to the Specific Factors Model," Working Papers in Economics 22/08, University of Canterbury, Department of Economics and Finance.
• Petar Soric & Enric Monte & Salvador Torra & Oscar Claveria, 2022. ""Density forecasts of inflation using Gaussian process regression models"," IREA Working Papers 202210, University of Barcelona, Research Institute of Applied Economics, revised Jul 2022.
• Dirk Czarnitzki & Gastón P Fernández & Christian Rammer, 2022. "Artificial Intelligence and Firm-level Productivity," Working Papers of Department of Management, Strategy and Innovation, Leuven 690486, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
• Rohith Mahadevan & Sam Richard & Kishore Harshan Kumar & Jeevitha Murugan & Santhosh Kannan & Saaisri & Tarun & Raja CSP Raman, 2022. "Payday loans -- blessing or growth suppressor? Machine Learning Analysis," Papers 2205.15320, arXiv.org.
• Leonid Kogan & Indrajit Mitra, 2022. "Near-Rational Equilibria in Heterogeneous-Agent Models: A Verification Method," NBER Working Papers 30111, National Bureau of Economic Research, Inc.