Report NEP-CMP-2021-01-11

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:

• AERTS, Babiche & CORNELISSENS, Trijntje & SÖRENSEN, Kenneth, 2020. "Solving the joint order batching and picker routing problem, as a clustered vehicle routing problem," Working Papers 2020003, University of Antwerp, Faculty of Business and Economics.
• Kyvik Nordås, Hildegunn & Klügl, Franziska, 2020. "Drivers of automation and consequences for jobs in engineering services: an agent-based modelling approach," Working Papers 2020:16, Örebro University, School of Business.
• Ásgeir Daníelsson & Lúdvik Elíasson & Magnús F. Gudmundsson & Svava J. Haraldsdóttir & Lilja S. Kro & Thórarinn G. Pétursson & Thorsteinn S. Sveinsson, 2019. "QMM A Quarterly Macroeconomic Model of the Icelandic Economy Version 4.0," Economics wp82, Department of Economics, Central bank of Iceland.
• Nikita Gusarov & Amirreza Talebijamalabad & Iragaël Joly, 2020. "Exploration of model performances in the presence of heterogeneous preferences and random effects utilities awareness," Working Papers hal-03019739, HAL.
• Riu Naito & Toshihiro Yamada, 2020. "A machine learning solver for high-dimensional integrals: Solving Kolmogorov PDEs by stochastic weighted minimization and stochastic gradient descent through a high-order weak approximation scheme of ," Papers 2012.12346, arXiv.org, revised Feb 2021.
• Dmitriy, Skrypnik, 2020. "Инфраструктура И Экономический Рост. «Бюджетный Маневр» В России [Infrastructure and economic growth. "Budgetary maneuver" in Russia]," MPRA Paper 104920, University Library of Munich, Germany.
• Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020. "Machine Learning Advances for Time Series Forecasting," Papers 2012.12802, arXiv.org, revised Apr 2021.
• Katsuya Ito & Kentaro Minami & Kentaro Imajo & Kei Nakagawa, 2020. "Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction," Papers 2012.10215, arXiv.org.
• Jorge Antunes & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2020. "Information Entropy, Continuous Improvement, and US Energy Performance: A Novel Stochastic-Entropic Analysis for Ideal Solutions (SEA-IS)," Working Papers 2020110, University of Pretoria, Department of Economics.
• Ginters Buss & Patrick Gruning, 2020. "Fiscal DSGE Model for Latvia," Working Papers 2020/05, Latvijas Banka.
• Jorge Antunes & Goodness C. Aye & Rangan Gupta & Peter Wanke & Yong Tan, 2020. "Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach," Working Papers 2020111, University of Pretoria, Department of Economics.
• Akyildirim, Erdinc & Cepni, Oguzhan & Corbet, Shaen & Uddin, Gazi Salah, 2020. "Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning," Working Papers 20-2020, Copenhagen Business School, Department of Economics.
• Andersson, Jonas & Olden, Andreas & Rusina, Aija, 2020. "Fraud detection by a multinomial model: Separating honesty from unobserved fraud," Discussion Papers 2020/15, Norwegian School of Economics, Department of Business and Management Science.
• Anna Baiardi & Andrea A. Naghi, 2021. "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Tinbergen Institute Discussion Papers 21-001/V, Tinbergen Institute.
• Paul Waddell & Arezoo Besharati-Zadeh, 2020. "A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area," Papers 2011.14924, arXiv.org.
• Stefán Thórarinsson, 2020. "DYNIMO - Version III. A DSGE model of the Icelandic economy," Economics wp84, Department of Economics, Central bank of Iceland.
• Domenico Delli Gatti & Severin Reissl, 2020. "ABC: An Agent Based Exploration of the Macroeconomic Effects of Covid-19," CESifo Working Paper Series 8763, CESifo.
• Szabó-Morvai Ágnes & Hubert János Kiss, 2020. "Locus of control and Human Capital Investment Decisions: The Role of Effort, Parental Preferences and Financial Constraints," CERS-IE WORKING PAPERS 2055, Institute of Economics, Centre for Economic and Regional Studies.
• Breuer, Wolfgang & Steininger, Bertram, 2020. "Recent Trends in Real Estate Research: A Comparison of Recent Working Papers and Publications using Machine Learning Algorithms," Working Paper Series 20/15, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
• Jack Blundell, 2020. "Clusters in UK Self-Employment," CEP Occasional Papers 048, Centre for Economic Performance, LSE.
• Cyril Verluise & Gabriele Cristelli & Kyle Higham & Gaetan de Rassenfosse, 2020. "The Missing 15 Percent of Patent Citations," Working Papers 13, Chair of Science, Technology, and Innovation Policy.
• Cevat Giray Aksoy & Panu Poutvaara & Felicitas Schikora, 2020. "First Time Around: Local Conditions and Multi-dimensional Integration of Refugees," SOEPpapers on Multidisciplinary Panel Data Research 1115, DIW Berlin, The German Socio-Economic Panel (SOEP).
• Turan G. Bali & Amit Goyal & Dashan Huang & Fuwei Jiang & Quan Wen, 2020. "The Cross-Sectional Pricing of Corporate Bonds Using Big Data and Machine Learning," Swiss Finance Institute Research Paper Series 20-110, Swiss Finance Institute.
• Xunyi Wang & Reza Mousavi & Yili Hong, 2020. "The Unintended Consequences of Stay-at-Home Policies on Work Outcomes: The Impacts of Lockdown Orders on Content Creation," Papers 2011.15068, arXiv.org.