Code for: Judging Judge Fixed Effects
Principal Investigator(s): View help for Principal Investigator(s) Emily Leslie, Brigham Young University; Lars Lefgren, Brigham Young University; Brigham Frandsen, Brigham Young University
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| clean_data | 09/02/2022 03:20:PM | ||
| intermediate_data | 09/02/2022 03:20:PM | ||
| paper | 09/02/2022 03:20:PM | ||
| programs | 09/02/2022 03:20:PM | ||
| raw_data | 09/02/2022 03:20:PM | ||
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application/pdf | 261.1 KB | 09/02/2022 11:20:AM |
Project Citation:
Leslie, Emily, Lefgren, Lars, and Frandsen, Brigham. Code for: Judging Judge Fixed Effects. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-12-07. https://doi.org/10.3886/E179181V1
Project Description
Summary:
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We propose a test for the identifying assumptions invoked in designs based on the random assignment of cases to judges. The standard identifying assumptions of exclusion and monotonicity imply that the conditional expectation of the outcome given the assigned judge's propensity to treat is a continuous function with bounded slope. We develop a nonparametric test of this restriction, show its asymptotic validity, and demonstrate its finite-sample performance in simulations. We apply our test in an empirical setting from the literature examining the effects of pre-trial detention on defendant outcomes in New York. When the assumptions are not satisfied, we propose weaker versions of the usual exclusion and monotonicity restrictions under which the IV estimator still converges to a proper weighted average of treatment effects.
Funding Sources:
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College of Family, Home, and Social Sciences, Brigham Young University
Scope of Project
Subject Terms:
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Instrumental variables;
Pretrial detention;
Judge fixed effects
Geographic Coverage:
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New York City, NY
Time Period(s):
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1/2009 – 12/2013
Data Type(s):
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administrative records data
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