Report NEP-UPT-2023-09-04

This is the archive for NEP-UPT, a report on new working papers in the area of Utility Models and Prospect Theory. Alexander Harin issued this report. It is usually issued weekly.

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Other reports in NEP-UPT

The following items were announced in this report:

• Jacob K Goeree & Bernardo Garcia-Pola, 2023. "A Non-Parametric Test of Risk Aversion," Papers 2308.02083, arXiv.org.
• Gianluca Cassese, 2023. "Subjective Expected Utility and Psychological Gambles," Papers 2307.10328, arXiv.org, revised Oct 2023.
• Sanjit Dhami & Narges Hajimoladarvish & Konstantinos Georgalos, 2023. "Precautionary Savings, Loss Aversion, and Risk: Theory and Evidence," CESifo Working Paper Series 10570, CESifo.
• Abdelali Gabih & Ralf Wunderlich, 2023. "Portfolio Optimization in a Market with Hidden Gaussian Drift and Randomly Arriving Expert Opinions: Modeling and Theoretical Results," Papers 2308.02049, arXiv.org, revised Jun 2024.
• Nicholas C. Bedard & Jacob K. Goeree, 2023. "Tropical Analysis: With an Application to Indivisible Goods," Papers 2308.04593, arXiv.org.
• Sun, Tianyu & Tian, Liu, 2023. "No pain, no gain: implications in consumption and economic growth," MPRA Paper 118081, University Library of Munich, Germany.
• Takao Asano & Xiaojing Cai & Ryuta Sakemoto, 2023. "Time-varying ambiguity shocks and business cycles," KIER Working Papers 1094, Kyoto University, Institute of Economic Research.
• Haoyang Yu & Yutong Sun & Yulin Liu & Luyao Zhang, 2023. "Bitcoin Gold, Litecoin Silver:An Introduction to Cryptocurrency's Valuation and Trading Strategy," Papers 2308.00013, arXiv.org.
• Charles F. Manski & Aleksey Tetenov, 2023. "Statistical Decision Theory Respecting Stochastic Dominance," Papers 2308.05171, arXiv.org.
• Tobias Schütze & Carsten Spitzer & Philipp C. Wichardt & Philipp Christoph Wichardt, 2023. "Nudging: An Experiment on Transparency, Controlling for Reactance and Decision Time," CESifo Working Paper Series 10599, CESifo.
• Robert P. Gilles & Lina Mallozzi, 2023. "Game theoretic foundations of the Gately power measure for directed networks," Papers 2308.02274, arXiv.org.