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  Escalation in dynamic conflict: on beliefs and selection

Konrad, K. A., & Morath, F. (2017). Escalation in dynamic conflict: on beliefs and selection. Working Paper of the Max Planck Institute for Tax Law and Public Finance, No. 2017-5. doi:10.2139/ssrn.3035287.

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https://ssrn.com/abstract=3035287 (Preprint)
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Also published as: Working Paper of the Max Planck Institute for Tax Law and Public Finance No. 2018-4
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 Urheber:
Konrad, Kai A.1, Autor           
Morath, Florian1, Autor           
Affiliations:
1Public Economics, MPI for Tax Law and Public Finance, Max Planck Society, ou_830552              

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Schlagwörter: Dynamic conflict, lottery contest, heterogeneity, incomplete information, uncertainty, escalation, beliefs, selection, learning, experiment
 Zusammenfassung: We study a dynamic multi-stage contest that resolves in each stage only with a given probability. Assuming that there is unobservable heterogeneity in intrinsic motivations we derive properties of the equilibrium efforts across the different stages. Whereas in the corresponding complete information benchmark equilibrium efforts are stable across the stages, uncertainty about the type distribution of possible opponents generates learning. We identify reasons for dynamic adjustments of efforts caused by belief formation and updating and by selection of certain types into continuing conflict. A corresponding experimental setup provides evidence for escalation of efforts in later stages, for type heterogeneity, for belief formation and belief updating, and for self-selection. Overall, our results suggest the importance of an appropriate benchmark model when testing predictions on behavior in conflict or related strategic interactions.

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Sprache(n): eng - English
 Datum: 2017-09-13
 Publikationsstatus: Online veröffentlicht
 Seiten: 53
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.2139/ssrn.3035287
 Art des Abschluß: -

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Titel: Working Paper of the Max Planck Institute for Tax Law and Public Finance
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: No. 2017-5 Artikelnummer: - Start- / Endseite: - Identifikator: -