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Abstract
Police agencies face significant staffing shortages due to increased resignations and retirements following the George Floyd protests and the COVID-19 pandemic. A method called Inverse Data Envelopment Analysis (InvDEA) can be used to estimate how policing inputs, such as officers, staff, and vehicles, can be reallocated to increase policing outputs, such as arresting offenders, clearing crimes, or responding to emergencies. Using a simulation of a police agency with 150 sectors, the author showed that it was possible to reallocate officers and civilians from inefficient to efficient sectors to significantly improve performance without any additional inputs.
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