Report NEP-DCM-2023-09-11
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:
- Du, Tianyu & Kanodia, Ayush & Athey, Susan, 2023, "Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python," Research Papers, Stanford University, Graduate School of Business, number 4106, Apr.
- John V. Colias & Stella Park & Elizabeth Horn, 2023, "Optimizing B2B Product Offers with Machine Learning, Mixed Logit, and Nonlinear Programming," Papers, arXiv.org, number 2308.07830, Aug.
- Caliari, Daniele, 2023, "Behavioural welfare analysis and revealed preference: Theory and experimental evidence," Discussion Papers, Research Unit: Economics of Change, WZB Berlin Social Science Center, number SP II 2023-303.
- Karen Mulligan & Drishti Baid & Jason N. Doctor & Charles E. Phelps & Darius N. Lakdawalla, 2023, "Risk Preferences Over Health: Empirical Estimates and Implications for Healthcare Decision-Making," NBER Working Papers, National Bureau of Economic Research, Inc, number 31524, Aug.
- Caliari, Daniele, 2023, "Rationality is not consistency," Discussion Papers, Research Unit: Economics of Change, WZB Berlin Social Science Center, number SP II 2023-304.
- Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023, "Individual Shrinkage for Random Effects," Papers, arXiv.org, number 2308.01596, Aug, revised Jul 2025.
- Marco Barassi & Yiannis Karavias & Chongxian Zhu, 2023, "Threshold Regression in Heterogeneous Panel Data with Interactive Fixed Effects," Papers, arXiv.org, number 2308.04057, Aug, revised Jan 2026.
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