Working Paper (4)

2023
Working Paper
Hunold, M., & Werner, T. (2023). Algorithmic price recommendations and collusion: Experimental evidence (DICE Discussion Paper No. 410). Heinrich-Heine-University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
Working Paper
Mol, J. M., Soraperra, I., & van der Weele, J. J. (2023). Spoiling the party: Experimental evidence on the willingness to transmit inconvenient ethical information (Tinbergen Institute Discussion Paper No. TI 2023-062/I). Tinbergen Institute.
Working Paper
Onderstal, S., Shalvi, S., & Soraperra, I. (2023). Competition modulates buyers' reaction to sellers' cheap talk (Tinbergen Institute Discussion Paper No. 35). Tinbergen Institute.

Report (1)

2023
Report
World Health Organization , The Contact Tracing Guidance Development Group [Member of the MPIB: Manuel Cebrian], & Pan American Health Organization (PAHO) / WHO Regional Office of the Americas (AMRO). (2023). Considerations for implementing and adjusting public health and social measures in the context of COVID-19: Interim guidance 30 March 2023.

Preprint (3)

2023
Preprint
Kasberger, B., Martin, S., Normann, H.-T., & Werner, T. (2023). Algorithmic cooperation. SSRN eLibrary, March 21, 2023. https://doi.org/10.2139/ssrn.4389647
Preprint
Köbis, N., Lorenz-Spreen, P., Ajaj, T., Bonnefon, J.-F., Hertwig, R., & Rahwan, I. (2023). Artificial intelligence can facilitate selfish decisions by altering the appearance of interaction partners. arXiv, 2306.04484 . https://doi.org/10.48550/arXiv.2306.04484
Preprint
Starke, C., Kieslich, K., Reichert, M., & Köbis, N. (2023). Algorithms against corruption: A conjoint study on designing automated twitter posts to encourage collective action. SocArXiv, January 13, 2023. https://doi.org/10.31235/osf.io/wf45t
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