Report NEP-CMP-2022-06-13

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:

• Ravi Kumar & Shahin Boluki & Karl Isler & Jonas Rauch & Darius Walczak, 2022. "Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing," Papers 2205.01875, arXiv.org, revised Dec 2022.
• Shrey Jain & Camille Bruckmann & Chase McDougall, 2022. "NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks," Papers 2204.12932, arXiv.org.
• Lukas Janasek, 2022. "Acquisition of Costly Information in Data-Driven Decision Making," Working Papers IES 2022/10, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2022.
• Joshua S. Gans, 2022. "AI Adoption in a Competitive Market," NBER Working Papers 29996, National Bureau of Economic Research, Inc.
• Peter B. Dixon & Maureen T. Rimmer, 2022. "Creating USAGE-OCC: a CGE model of the U.S. with a disaggregated occupational dimension," Centre of Policy Studies/IMPACT Centre Working Papers g-329, Victoria University, Centre of Policy Studies/IMPACT Centre.
• Edith Elkind & Martin Lackner & Dominik Peters, 2022. "Preference Restrictions in Computational Social Choice: A Survey," Papers 2205.09092, arXiv.org.
• Dim, Chukwuma & Koerner, Kevin & Wolski, Marcin & Zwart, Sanne, 2022. "Hot off the press: News-implied sovereign default risk," EIB Working Papers 2022/06, European Investment Bank (EIB).
• Joshua S. Gans, 2022. "AI Adoption in a Monopoly Market," NBER Working Papers 29995, National Bureau of Economic Research, Inc.