Talkin' Bout Cooperation
Author
Abstract
Suggested Citation
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2023.
"How communication makes the difference between a cartel and tacit collusion: A machine learning approach,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 152, pages 1-1.
- Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2023. "How communication makes the difference between a cartel and tacit collusion: A machine learning approach," European Economic Review, Elsevier, vol. 152(C).
- Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2022. "How communication makes the difference between a cartel and tacit collusion: a machine learning approach," CEPA Discussion Papers 53, Center for Economic Policy Analysis.
- Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2022. "How Communication Makes the Difference between a Cartel and Tacit Collusion: A Machine Learning Approach," Discussion Papers of DIW Berlin 2000, DIW Berlin, German Institute for Economic Research.
- Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2022. "How Communication Makes the Difference between a Cartel and Tacit Collusion: A Machine Learning Approach," CESifo Working Paper Series 10024, CESifo.
- Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2020. "Choosing between explicit cartel formation and tacit collusion – An experiment," CEPA Discussion Papers 19, Center for Economic Policy Analysis.
- Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2021. "How do sanctions work? The choice between cartel formation and tacit collusion," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242372, Verein für Socialpolitik / German Economic Association.
- Tebbe, Eva & Wegener, Benjamin, 2022. "Is natural language processing the cheap charlie of analyzing cheap talk? A horse race between classifiers on experimental communication data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
More about this item
Keywords
Communication; Cooperation; Reinforcement learning; Strategic environment; Structural topic modeling;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-03-23 (Big Data)
- NEP-EXP-2020-03-23 (Experimental Economics)
- NEP-GTH-2020-03-23 (Game Theory)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wus055:7505. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: WU Library (email available below). General contact details of provider: https://research.wu.ac.at/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.