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Report NEP-DCM-2026-04-20
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:
- Ecenur Oguz & Robert L. Bray, 2026, "Training Neural Networks Embedded in Dynamic Discrete Choice Models," Papers, arXiv.org, number 2604.09736, Apr.
- Beth Forys & Paul Hindsley & O. Ashton Morgan & John C. Whitehead, 2026, "Estimating Recreation Benefits of Avoiding Blue Green Algae and Red Tide in South Florida," Working Papers, Department of Economics, Appalachian State University, number 26-05.
- Hua Wang & Yuhan Deng & Donald S. Kenkel & Alan D. Mathios & Sen Zeng, 2026, "Consumer Tobacco Product Choices in China: The Impact of a Ban on Flavored E-cigarettes," NBER Working Papers, National Bureau of Economic Research, Inc, number 35048, Apr.
- Avidit Acharya & Jens Hainmueller & Yiqing Xu, 2026, "Learning Preferences from Conjoint Data: A Structural Deep Learning Approach," Papers, arXiv.org, number 2604.10845, Apr.
- Nan Liu & Yanbo Liu & Yuya Sasaki & Yuanyuan Wan, 2026, "Root-$n$ Asymptotically Normal Maximum Score Estimation," Papers, arXiv.org, number 2604.13399, Apr.
- Harold D. Chiang & Ahnaf Rafi, 2026, "Gaussian approximation for maximum score and non-smooth M-estimators with multiway dependence," Papers, arXiv.org, number 2604.10232, Apr.
- Markus Lill & Nastasia Gallitz & Lucas Stich & Martin Spann, 2026, "How Platform Endorsement Shapes Consumer Search and Choice in Online Retail," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 569, Apr.
- Anke Becker & Christina Borner & Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2026, "The Global Variation in Risk and Time Preferences," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 568, Mar.
- Lixiong Li, 2026, "Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination," Papers, arXiv.org, number 2604.10770, Apr.