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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. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, University of Antwerp, Faculty of Business and Economics, number 2020003, Apr.
- Kyvik Nordås, Hildegunn & Klügl, Franziska, 2020, "Drivers of automation and consequences for jobs in engineering services: an agent-based modelling approach," Working Papers, Örebro University, School of Business, number 2020:16, Dec.
- 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, Department of Economics, Central bank of Iceland, number wp82, Dec.
- 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, number hal-03019739, Oct.
- 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 SDEs with Malliavin weights," Papers, arXiv.org, number 2012.12346, Dec, revised Feb 2021.
- Dmitriy, Skrypnik, 2020, "Инфраструктура И Экономический Рост. «Бюджетный Маневр» В России
[Infrastructure and economic growth. "Budgetary maneuver" in Russia]," MPRA Paper, University Library of Munich, Germany, number 104920, Nov. - Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020, "Machine Learning Advances for Time Series Forecasting," Papers, arXiv.org, number 2012.12802, Dec, revised Apr 2021.
- Katsuya Ito & Kentaro Minami & Kentaro Imajo & Kei Nakagawa, 2020, "Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction," Papers, arXiv.org, number 2012.10215, Dec.
- 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, University of Pretoria, Department of Economics, number 2020110, Dec.
- Ginters Buss & Patrick Gruning, 2020, "Fiscal DSGE Model for Latvia," Working Papers, Latvijas Banka, number 2020/05, Dec.
- 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, University of Pretoria, Department of Economics, number 2020111, Dec.
- Akyildirim, Erdinc & Cepni, Oguzhan & Corbet, Shaen & Uddin, Gazi Salah, 2020, "Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning," Working Papers, Copenhagen Business School, Department of Economics, number 20-2020, Dec.
- Andersson, Jonas & Olden, Andreas & Rusina, Aija, 2020, "Fraud detection by a multinomial model: Separating honesty from unobserved fraud," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2020/15, Dec.
- Anna Baiardi & Andrea A. Naghi, 2021, "The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-001/V, Jan.
- Paul Waddell & Arezoo Besharati-Zadeh, 2020, "A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area," Papers, arXiv.org, number 2011.14924, Nov.
- Stefán Thórarinsson, 2020, "DYNIMO - Version III. A DSGE model of the Icelandic economy," Economics, Department of Economics, Central bank of Iceland, number wp84, Dec.
- Domenico Delli Gatti & Severin Reissl, 2020, "ABC: An Agent Based Exploration of the Macroeconomic Effects of Covid-19," CESifo Working Paper Series, CESifo, number 8763.
- 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, Institute of Economics, Centre for Economic and Regional Studies, number 2055, Dec.
- 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, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance, number 20/15, Dec.
- Item repec:cep:cepops:048 is not listed on IDEAS anymore
- Cyril Verluise & Gabriele Cristelli & Kyle Higham & Gaetan de Rassenfosse, 2020, "The Missing 15 Percent of Patent Citations," Working Papers, Chair of Science, Technology, and Innovation Policy, number 13, Dec.
- 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, DIW Berlin, The German Socio-Economic Panel (SOEP), number 1115.
- 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, Swiss Finance Institute, number 20-110, Sep.
- 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, arXiv.org, number 2011.15068, Nov.