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Report NEP-CMP-2021-09-06
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:
- Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021, "Evaluation of technology clubs by clustering: A cautionary note," MPRA Paper, University Library of Munich, Germany, number 109138, May.
- Dat Thanh Tran & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2021, "Bilinear Input Normalization for Neural Networks in Financial Forecasting," Papers, arXiv.org, number 2109.00983, Sep.
- Lisa Crosato & Caterina Liberati & Marco Repetto, 2021, "Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default," Papers, arXiv.org, number 2108.13914, Aug, revised Sep 2021.
- Philipp Maximilian Mueller & Björn-Martin Kurzrock, 2021, "Document Classification for Machine Learning in Real Estate Professional Services – Results of the Property Research Trust Project," ERES, European Real Estate Society (ERES), number eres2021_65, Jan.
- Marcelo Cajias & Willwersch Jonas & Lorenz Felix & Franz Fuerst, 2021, "Peeking inside the Black Box: Interpretable Machine Learning and Hedonic Rental Estimation," ERES, European Real Estate Society (ERES), number eres2021_104, Jan.
- Benedict von Ahlefeldt-Dehn & Marcelo Cajias & Wolfgang Schäfers, 2021, "The Future of Commercial Real Estate Market Research: A Case for Applying Machine Learning," ERES, European Real Estate Society (ERES), number eres2021_49, Jan.
- Matthias Soot & Sabine Horvath & Hans-Berndt Neuner & Alexandra Weitkamp, 2021, "Analysis of Property Yields for Multi-Family Houses with Spatial Method and ANN," ERES, European Real Estate Society (ERES), number eres2021_44, Jan.
- Christl, Michael & De Poli, Silvia & Kucsera, Dénes & Lorenz, Hanno, 2021, "COVID-19 and (gender) inequality in income: the impact of discretionary policy measures in Austria," GLO Discussion Paper Series, Global Labor Organization (GLO), number 917.
- Liang Lu & Ruby Nguyen & Md Mamunur Rahman & Jason Winfree, 2021, "Demand Shocks and Supply Chain Resilience: An Agent Based Modelling Approach and Application to the Potato Supply Chain," NBER Working Papers, National Bureau of Economic Research, Inc, number 29166, Aug.
- Laura Gabrielli & Aurora Ruggeri & Massimiliano Scarpa, 2021, "An Automatic Decision Support System for Low-Carbon Real Estate Investments," ERES, European Real Estate Society (ERES), number eres2021_126, Jan.