Working Papers




2020-03-05 Guillaume Frechette (NYU)
Beliefs in Repeated Games.
Room: E0.07 (REC UvA), 16:00 - 17:15.


5 MOST RECENT PUBLICATIONS (click for abstract)
Working Papers
Dimand, Eugen, Gerben van Kleef and Shaul Shalvi (forthcoming) Requiem for a Nudge: Framing Effects in Nudging Honesty Journal of Economic Behavior and Organization PDF-file
Leib, Margarita, Nils Köbis, Marc Francke, Shaul Shalvi and Marieke Roskes (forthcoming) Precision in a Seller’s Market: Round Asking Prices Lead to Higher Counteroffers and Selling Prices Management Science PDF-file
Brütt, Katharina, Arthur Schram and Joep Sonnemans (2020) Endogenous group formation and responsibility diffusion: An experimental study. Games and Economic Behavior 121, 1-31 Link to article
Stamatis, Caitlin A., Jan B. Engelmann, Christiane Ziegler, Katharina Domschke, Gregor Hasler & Kiara R. Timpano (2020) A neuroeconomic investigation of 5-HTT/5-HT1A gene variation, social anxiety, and risk-taking behavior Anxiety, Stress, & Coping 1-17 PDF-file Link to article
He, Simin, Theo Offerman and Jeroen van de Ven (2019) The Power and Limits of Sequential Communication in Coordination Games Journal of Economic Theory 181, 238-273 PDF-file Link to article
5 MOST RECENT WORKING PAPERS (click for abstract)
Working Papers
Köbis, Nils C., Luca D. Mossink (2020) Creative Artificial Intelligence – Algorithms vs. humans in an incentivized writing competition PDF-file
Ioannidis, Konstantinos, Theo Offerman and Randolph Sloof (2019) Is a double auction market needed to reduce the effects of anchoring? On the robustness of anchoring of valuations PDF-file
Engelmann, Jan B., Maël Lebreton, Peter Schwardmann, Joël J. van der Weele, Li-Ang Chang (2019) Anticipatory Anxiety and Wishful Thinking PDF-file
Soraperra, Ivan, Nils Köbis, Charles Efferson, Shaul Shalvi, Sonja Vogt and Theo Offerman (2019) A market for integrity An experiment on corruption in the education sector PDF-file
Ting, Chih-Chung, Stefano Palminteri, Jan B. Engelmann, Maël Lebreton (2019) Decreased confidence in loss-avoidance contexts is a primary meta-cognitive bias of human reinforcement learning PDF-file