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A variety of real-world situations take the form of repeated principal-agent problems with binary evaluation. I evaluate the principal's optimal evaluation effort and quality threshold for acceptance in the setting of dynamic agency with binary evaluation, focusing specifically on the evaluation by a top academic journal of papers submitted by economists. In the baseline model, the journal should statistically discriminate in favour of high-status economists, by setting an acceptance threshold that declines with their prior estimate of the economist's quality, while evaluation effort should likely increase with perceived author quality, as this provides incentives for authors to exert more effort, which is particularly valuable from the highest-quality authors. However, if a first good publication is more valuable than subsequent publications by the same economist, acceptance thresholds will tend to increase after publication success, relative to the threshold that would have followed a rejection. • Considers repeated principal-agent problem with binary evaluation. • Specifically, evaluation by a top academic journal of papers submitted by economists. • Journal should statistically discriminate in favour of high-status economists. • Acceptance threshold declines with prior estimate of economist's quality. • But threshold could increase after publication if first publication is most valuable. [ABSTRACT FROM AUTHOR]

Objective: Peer review frequently follows a process where reviewers first provide initial reviews, authors respond to these reviews, then reviewers update their reviews based on the authors' response. There is mixed evidence regarding whether this process is useful, including frequent anecdotal complaints that reviewers insufficiently update their scores. In this study, we aim to investigate whether reviewers anchor to their original scores when updating their reviews, which serves as a potential explanation for the lack of updates in reviewer scores. Design: We design a novel randomized controlled trial to test if reviewers exhibit anchoring. In the experimental condition, participants initially see a flawed version of a paper that is corrected after they submit their initial review, while in the control condition, participants only see the correct version. We take various measures to ensure that in the absence of anchoring, reviewers in the experimental group should revise their scores to be identically distributed to the scores from the control group. Furthermore, we construct the reviewed paper to maximize the difference between the flawed and corrected versions, and employ deception to hide the true experiment purpose. Results: Our randomized controlled trial consists of 108 researchers as participants. First, we find that our intervention was successful at creating a difference in perceived paper quality between the flawed and corrected versions: Using a permutation test with the Mann-Whitney U statistic, we find that the experimental group's initial scores are lower than the control group's scores in both the Evaluation category (Vargha-Delaney A = 0.64, p = 0.0096) and Overall score (A = 0.59, p = 0.058). Next, we test for anchoring by comparing the experimental group's revised scores with the control group's scores. We find no significant evidence of anchoring in either the Overall (A = 0.50, p = 0.61) or Evaluation category (A = 0.49, p = 0.61). The Mann-Whitney U represents the number of individual pairwise comparisons across groups in which the value from the specified group is stochastically greater, while the Vargha-Delaney A is the normalized version in [0, 1]. [ABSTRACT FROM AUTHOR]

To provide clear see‐through image quality is one of the most important performances of a transparent display, because of its see‐through capability. Purity is one of the quantitative measure can evaluate the see‐through image quality in terms of perceived blurriness. In this paper, the characteristics of purity are investigated. Experimental results indicate that the purity values have highly correlated with perceptual blurriness of see‐through images. Furthermore, the perceptual limit of purity value is also derived. [ABSTRACT FROM AUTHOR]