2018
DOI: 10.2139/ssrn.3183482
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A Rationale for Imperfect Reporting Standards

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Cited by 11 publications
(2 citation statements)
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“…In some applications, however, the existence of evidence may depend on the desired quality of the measured evidence. To illustrate this problem, we consider as in Friedman, Hughes and Michaeli [2019] environments in which a more precise measurement G also implies a higher probability of not receiving information. In particular, suppose that the probability of not receiving information q(τ) is an increasing function of τ.…”
Section: Discussionmentioning
confidence: 99%
“…In some applications, however, the existence of evidence may depend on the desired quality of the measured evidence. To illustrate this problem, we consider as in Friedman, Hughes and Michaeli [2019] environments in which a more precise measurement G also implies a higher probability of not receiving information. In particular, suppose that the probability of not receiving information q(τ) is an increasing function of τ.…”
Section: Discussionmentioning
confidence: 99%
“…The key friction in their setting is that the firm's management may lack incentive to exert effort, which creates a need for the firm to pledge its assets to the lender to mitigate the moral hazard problem. 3 Accordingly, the measurement rule of the asset value plays an essential role in 2 In particular, recent accounting literature studies ex ante information design applying the framework of Bayesian persuasion following Kamenica and Gentzkow (2011), for example, Jiang and Yang (2017), Huang (2019), Friedman et al (2020Friedman et al ( , 2021, and Laux and Zheng (2021).…”
Section: Related Literaturementioning
confidence: 99%