Dude, Where’s My Treatment Effect? Errors in Administrative Data Linking and the Destruction of Statistical Power in Randomized Experiments

Objective The increasing availability of large administrative datasets has led to an exciting innovation in criminal justice research—using administrative data to measure experimental outcomes in lieu of costly primary data collection. We demonstrate that this type of randomized experiment can have...

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Bibliographic Details
Main Author: Tahamont, Sarah (Author)
Contributors: Jelveh, Zubin ; Chalfin, Aaron ; Yan, Shi ; Hansen, Benjamin
Format: Electronic Article
Language:English
Published: 2021
In: Journal of quantitative criminology
Year: 2021, Volume: 37, Issue: 3, Pages: 715-749
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Keywords:
machine learning
Record linking
Administrative data
Randomized experiments