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.

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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 4106, Stanford University, Graduate School of Business.
• John V. Colias & Stella Park & Elizabeth Horn, 2023. "Optimizing B2B Product Offers with Machine Learning, Mixed Logit, and Nonlinear Programming," Papers 2308.07830, arXiv.org.
• Caliari, Daniele, 2023. "Behavioural welfare analysis and revealed preference: Theory and experimental evidence," Discussion Papers, Research Unit: Economics of Change SP II 2023-303, WZB Berlin Social Science Center.
• 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 31524, National Bureau of Economic Research, Inc.
• Caliari, Daniele, 2023. "Rationality is not consistency," Discussion Papers, Research Unit: Economics of Change SP II 2023-304, WZB Berlin Social Science Center.
• Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "A Robust Method for Microforecasting and Estimation of Random Effects," Papers 2308.01596, arXiv.org.
• Marco Barassi & Yiannis Karavias & Chongxian Zhu, 2023. "Threshold Regression in Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2308.04057, arXiv.org.