@article{88fad2c9a60043b5a630d52f4375a287,
title = "Imperfect public monitoring with a fear of signal distortion",
abstract = "This paper proposes a model of signal distortion in a two-player game with imperfect public monitoring. We construct a tractable theoretical framework where each player has the opportunity to distort the true public signal and each player is uncertain about the distortion technologies available to the other player. We show that when players evaluate strategies according to their worst-case guarantees—i.e., are ambiguity averse over certain distributions in the environment—perceived continuation payoffs endogenously lie on a positively sloped line. We then provide examples showing that, counterintuitively, identifying deviators can be harmful in enforcing a strategy profile; moreover, we illustrate how the presence of such signal distortion can sustain cooperation when it is impossible in standard settings. We show that the main result and examples are robust to a number of natural modifications to our setting. Finally, we extend our model to a repeated game where our concept is a natural generalization of strongly symmetric equilibria. In this setting, we prove an anti-folk theorem, showing that payoffs under our equilibrium concept are under general conditions bounded away from efficiency.",
keywords = "Ambiguity aversion, Imperfect public monitoring, Linearity, Repeated games",
author = "Vivek Bhattacharya and Lucas Manuelli and Ludwig Straub",
note = "Funding Information: Thanks to Drew Fudenberg for encouraging us to undertake this project and for his guidance along the way. We are also grateful for helpful discussions with Gabriel Carroll, Glenn Ellison, Jonathan Libgober, David Miller, and Juuso Toikka—as well as for comments from the associate editor and three anonymous referees. All errors are our own. Bhattacharya and Manuelli acknowledge financial support from the NSF Graduate Research Fellowship under Grant No. 1122374. Straub acknowledges financial support from the ERP Fellowship (“European Recovery Fund Fellowship”, sponsored by “Studienstiftung des Deutschen Volkes”). Funding Information: Thanks to Drew Fudenberg for encouraging us to undertake this project and for his guidance along the way. We are also grateful for helpful discussions with Gabriel Carroll, Glenn Ellison, Jonathan Libgober, David Miller, and Juuso Toikka—as well as for comments from the associate editor and three anonymous referees. All errors are our own. Bhattacharya and Manuelli acknowledge financial support from the NSF Graduate Research Fellowship under Grant No. 1122374 . Straub acknowledges financial support from the ERP Fellowship (“European Recovery Fund Fellowship”, sponsored by “ Studienstiftung des Deutschen Volkes ”). Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",
year = "2018",
month = may,
doi = "10.1016/j.jet.2018.01.004",
language = "English (US)",
volume = "175",
pages = "1--37",
journal = "Journal of Economic Theory",
issn = "0022-0531",
publisher = "Academic Press Inc.",
}