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Collaborations and top research areas from the last five years
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Body-Worn Camera Metadata
Rozema, K. (PD/PI)
Washington University in St. Louis, National Science Foundation
8/1/23 → 7/31/25
Project: Research project
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Professional Discipline and the Labor Market: Evidence from Lawyers
Rozema, K., May 2024, In: Journal of Law and Economics. 67, 2, p. 371-414 44 p.Research output: Contribution to journal › Article › peer-review
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Trial by numbers: A lawyer's guide to statistical evidence
Chilton, A. & Rozema, K., Apr 30 2024, Oxford University Press. 209 p.Research output: Book/Report › Book
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Does Discipline Decrease Police Misconduct? Evidence from Chicago Civilian Allegations†
Rozema, K. & Schanzenbach, M., 2023, In: American Economic Journal: Applied Economics. 15, 3, p. 80-116 37 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
PRICE ISN’T EVERYTHING: BEHAVIORAL RESPONSE AROUND CHANGES IN SIN TAXES
Rees-Jones, A. & Rozema, K., Mar 2023, In: National Tax Journal. 76, 1, p. 5-35 31 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
ASSESSING AFFIRMATIVE ACTION’S DIVERSITY RATIONALE
Chilton, A., Driver, J., Masur, J. S. & Rozema, K., 2022, In: Columbia Law Review. 122, 2, p. 331-406 76 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations
Datasets
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Data and Code for: Does Discipline Decrease Police Misconduct? Evidence from Chicago Civilian Allegations
Rozema, K. (Creator) & Schanzenbach, M. (Creator), ICPSR - Interuniversity Consortium for Political and Social Research, 2023
DOI: 10.3886/e143841v1, https://www.openicpsr.org/openicpsr/project/143841/version/V1/view
Dataset
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Replication data for: Good Cop, Bad Cop: Using Civilian Allegations to Predict Police Misconduct
Rozema, K. (Creator) & Schanzenbach, M. (Creator), ICPSR - Interuniversity Consortium for Political and Social Research, 2019
DOI: 10.3886/e114703v1-94321, https://www.openicpsr.org/openicpsr/project/114703/version/V1/view?path=/openicpsr/114703/fcr:versions/V1/data/AllegationsData&type=folder
Dataset