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Report NEP-CMP-2019-11-18
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:
- Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2019, "Machine learning, human experts, and the valuation of real assets," CFS Working Paper Series, Center for Financial Studies (CFS), number 635.
- Johann Pfitzinger & Nico Katzke, 2019, "A constrained hierarchical risk parity algorithm with cluster-based capital allocation," Working Papers, Stellenbosch University, Department of Economics, number 14/2019.
- Joel Suss & Henry Treitel, 2019, "Predicting bank distress in the UK with machine learning," Bank of England working papers, Bank of England, number 831, Oct.
- Xiao, Tim, 2018, "Incremental Risk Charge Methodology," FrenXiv, Center for Open Science, number 6b3hu, Aug, DOI: 10.31219/osf.io/6b3hu.
- Correia, Isabel & Melo, Teresa, 2019, "Dynamic facility location problem with modular capacity adjustments under uncertainty," Technical Reports on Logistics of the Saarland Business School, Saarland University of Applied Sciences (htw saar), Saarland Business School, number 17.
- Marco Taboga, 2019, "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1243, Nov.
- Veale, Michael & Binns, Reuben & Van Kleek, Max, 2018, "Some HCI Priorities for GDPR-Compliant Machine Learning," LawRxiv, Center for Open Science, number wm6yk, Mar, DOI: 10.31219/osf.io/wm6yk.
- Kambale Kavese & Andrew Phiri, 2019, "Microsimulations of a dynamic SUT economy-wide Leontief-based model for the South African economy," Working Papers, Department of Economics, Nelson Mandela University, number 1910, Nov, revised Nov 2019.
- Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2019, "Factor-Driven Two-Regime Regression," Working Paper Series, Institute of Economic Research, Seoul National University, number no128, Jul.
- Daniel Jacob, 2019, "Group Average Treatment Effects for Observational Studies," Papers, arXiv.org, number 1911.02688, Nov, revised Mar 2020.
- Periklis Gogas & Theophilos Papadimitriou & Emmanouil Sofianos, 2019, "Money Neutrality, Monetary Aggregates and Machine Learning," DUTH Research Papers in Economics, Democritus University of Thrace, Department of Economics, number 4-2016, Jul.