2019
DOI: 10.3386/w25528
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Judging Judge Fixed Effects

Abstract: for helpful feedback. We thank Crystal Yang for help with gaining access to data from Miami-Dade County. We thank the College of Family, Home, and Social Science of Brigham Young University for generous financial support. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of… Show more

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Cited by 46 publications
(43 citation statements)
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References 19 publications
(12 reference statements)
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“…A.1.3 Average Monotonicity (Frandsen et al 2019) We finally consider how Condition A.1 relates to "average monotonicity" in Frandsen et al (2019).…”
Section: A12 Consistency Of the Estimatormentioning
confidence: 99%
See 1 more Smart Citation
“…A.1.3 Average Monotonicity (Frandsen et al 2019) We finally consider how Condition A.1 relates to "average monotonicity" in Frandsen et al (2019).…”
Section: A12 Consistency Of the Estimatormentioning
confidence: 99%
“…Monotonicity can thus only hold if all agents have the same skill. Our empirical insight that we can test and quantify violations of monotonicity (or variation in skill) relates to conceptual work that exploits bounds on potential outcome distributions (Kitagawa 2015) and more recent work to test instrument validity in the judges design (Frandsen et al 2019) and…”
Section: Introductionmentioning
confidence: 99%
“…The monotonicity assumption is strong in this setting, as judges may treat cases differently depending on the characteristics of the defendant (e.g., men versus women) or crime (e.g., property versus violent crimes). Recent work argues that the monotonicity assumption is therefore unlikely to hold exactly in judge-IV designs, but that these IV estimates can still identify a convex combination of treatment effects under a weaker assumption of average monotonicity (Frandsen, Lefgren and Leslie 2019). An implication of this weaker average monotonicity assumption is that the first stage estimates should be nonnegative for all subsamples.…”
Section: Instrumental Variable Calculationmentioning
confidence: 99%
“…A limitation to this state-wide analysis is that we do not have detailed information about how 24/7 was implemented in each county, nor do we know whether officials tasked with the decision to assign candidates to 24/7 are truly monotonic as assumed. Recent research suggests this common assumption may be tenuous (Frandsen, Lefgren, and Leslie 2019). Similarly, we do not have information about whether counties changed how they addressed those who did not participate in 24/7 during our study period (e.g., were counties more likely to assign these individuals to treatment for a substance use disorder).…”
Section: Discussionmentioning
confidence: 93%