Report NEP-CBE-2022-12-05

This is the archive for NEP-CBE, a report on new working papers in the area of Cognitive and Behavioural Economics. Marco Novarese issued this report. It is usually issued weekly.

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Other reports in NEP-CBE

The following items were announced in this report:

• Rémi Suchon & Vincent Théroude, 2022. "Inequality and cooperation: meta-analytical evidence from Public Good Experiments," Working Papers of BETA 2022-29, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
• Romain Gauriot & Stephanie A. Heger & Robert Slonim, 2022. "Eliciting Preferences for Risk and Altruism: Experimental Evidence," CESifo Working Paper Series 9993, CESifo.
• Burton-Chellew, Maxwell, 2022. "The restart effect in social dilemmas shows humans are self-interested not altruistic," SocArXiv hgznu, Center for Open Science.
• Ahrens, Steffen & Bosch-Rosa, Ciril, 2022. "Motivated beliefs, social preferences, and limited liability in financial decision-making," Discussion Papers 2022/8, Free University Berlin, School of Business & Economics.
• Kenju Kamei & Katy Tabero, 2022. "The Individual-Team Discontinuity Effect on Institutional Choices: Experimental Evidence in Voluntary Public Goods Provision," Keio-IES Discussion Paper Series 2022-015, Institute for Economics Studies, Keio University.
• Leonhard K. Lades & Ewa Zawojska & Robert J. Johnston & Nick Hanley & Liam Delaney & Mikołaj Czajkowski, 2022. "Anomalies or Expected Behaviors? Understanding Stated Preferences and Welfare Implications in Light of Contemporary Behavioral Theory," Working Papers 2022-20, Faculty of Economic Sciences, University of Warsaw.
• Luca Henkel & Christian Zimpelmann, 2022. "Proud to Not Own Stocks: How Identity Shapes Financial Decisions," ECONtribute Discussion Papers Series 206, University of Bonn and University of Cologne, Germany.
• von Zahn, Moritz & Bauer, Kevin & Mihale-Wilson, Cristina & Jagow, Johanna & Speicher, Max & Hinz, Oliver, 2022. "The smart green nudge: Reducing product returns through enriched digital footprints & causal machine learning," SAFE Working Paper Series 363, Leibniz Institute for Financial Research SAFE, revised 2022.