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Report NEP-DCM-2024-01-15
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:
- Michelle Sovinsky & Liana Jacobi & Alessandra Allocca & Tao Sun, 2023, "More than Joints: Multi-Substance Use, Choice Limitations, and Policy Implications," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 487, Dec.
- Sören Blomquist, 2023, "Evaluating the Discrete Choice and BN Methods to Estimate Labor Supply Functions," CESifo Working Paper Series, CESifo, number 10827.
- Elisabeth Honka & Stephan Seiler & Raluca Ursu, 2023, "Consumer Search: What Can We Learn from Pre-Purchase Data?," CESifo Working Paper Series, CESifo, number 10786.
- Kramer, Berber & Porter, Maria & Wassie Bizuayehu, Solomon, , "Basis Risk, Social Comparison, Perceptions of Fairness and Demand for Insurance: A Field Experiment in Ethiopia," 2024 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2024, San Antonio, Texas, Agricultural and Applied Economics Association, number 339075, DOI: 10.22004/ag.econ.339075.
- von der Heyde, Leah & Haensch, Anna-Carolina & Wenz, Alexander, 2023, "Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion," SocArXiv, Center for Open Science, number 8je9g, Dec, DOI: 10.31219/osf.io/8je9g.
- Maria Elena Bontempi & Jan Ditzen, 2023, "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers, arXiv.org, number 2312.00399, Dec, revised Dec 2023.
- Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023, "Automatability of Occupations, Workers' Labor-market Expectations, and Willingness to Train," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 488, Dec.
- Luca Gaegauf & Simon Scheidegger & Fabio Trojani, 2023, "A Comprehensive Machine Learning Framework for Dynamic Portfolio Choice With Transaction Costs," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-114, Nov.
- Roger J. A. Laeven & Mitja Stadje, 2023, "A Rank-Dependent Theory for Decision under Risk and Ambiguity," Papers, arXiv.org, number 2312.05977, Dec, revised Mar 2026.