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Report NEP-CBE-2020-01-06
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CBE
The following items were announced in this report:
- David Masclet & David L. Dickinson, 2019, "Incorporating Conditional Morality into Economic Decisions," Economics Working Paper Archive (University of Rennes & University of Caen), Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, number 2019-10, Dec.
- Gaudeul, Alexia & Crosetto, Paolo, 2019, "Fast then slow: A choice process explanation for the attraction effect," University of Göttingen Working Papers in Economics, University of Goettingen, Department of Economics, number 386.
- Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019, "Preferences for observable information in a strategic setting: An experiment," Working Papers, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon, number 1936.
- Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico, 2019, "Perceived wealth, cognitive sophistication and behavioral inattention," IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS), number 135.
- Antinyan, Armenak & Asatryan, Zareh, 2019, "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 19-055.
- Aurélien Baillon & Aleli Kraft & Owen O'Donnell & Kim van Wilgenburg, 2019, "A behavioral decomposition of willingness to pay for health insurance," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 19-077/I, Nov.
- Invernizzi, Giovanna & Miller, Joshua Benjamin & Coen, Tommaso & Dufwenberg, Martin & Oliveira, Luiz Edgard R., 2019, "Tra i Leoni: Revealing the Preferences Behind a Superstition," OSF Preprints, Center for Open Science, number c5hxs, Jan, DOI: 10.31219/osf.io/c5hxs.