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Report NEP-DCM-2024-01-01
This is the archive for NEP-DCM, a report on new working papers in the area of Discrete Choice Models. Edoardo Marcucci issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-DCM
The following items were announced in this report:
- Nikhil Agarwal & Pearl Z. Li & Paulo J. Somaini, 2023, "Identification using Revealed Preferences in Linearly Separable Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 31868, Nov.
- Kukushkin, Nikolai S., 2023, "Maximizing a preference relation on complete chains and lattices," MPRA Paper, University Library of Munich, Germany, number 119148, Nov.
- Sid Kankanala, 2023, "Quasi-Bayes in Latent Variable Models," Papers, arXiv.org, number 2311.06831, Nov, revised Aug 2025.
- Kaiwen Hou, 2023, "Adaptive Bayesian Learning with Action and State-Dependent Signal Variance," Papers, arXiv.org, number 2311.12878, Nov, revised Nov 2023.