Public Performance & Management Review · 2019 · 10 citations · 102 references
Social SciencesPublic AdministrationPublic PolicyCrimePolicingUse Of ForceCommunity PolicingCriminal JusticeLaw EnforcementPolice AdministrationPolice-citizen RelationsCommunity Policing OrganizationComparative Police PerformanceLaw Enforcement EffectivenessPerformance Measurement In PolicingPolice Performance MeasurementPropensity Score Model SpecificationQuasi-experimental BaselineSingle-case Quasi-experimental Design
What constitutes “good” performance in a law enforcement agency, who decides, and how does public recognition of that performance change how an agency performs? This study uses a quasi-experimental design and propensity-score matching model to assess the impact of a law enforcement agency’s status as a finalist for the annual Cisco/International Chiefs of Police Association (IACP) Community Policing Award on performance in future years, as measured by crime clearance rates. It is found that after comparing the treated group (finalist agencies) with the untreated group (non-finalist nearest-neighbor agencies), there is no meaningful difference in crime clearance rates. This unexpected finding establishes that the public recognition of finalist status by the Department of Justice, which promotes finalist agencies as exemplars of best practices in community policing, does not impact the subsequent performance of those agencies. Additionally, the results of the model suggest that the impact of symbolic politics and social construction on the award finalist selection process and the choice by DOJ to promote the practices of those agencies should be explored. Questions are also raised as to the utility of crime clearance rates as a performance measure, and future avenues for research in each area are proposed.
102
Semiparametric Difference-in-Differences Estimators
Alberto Abadie · The Review of Economic Studies · 2004 · 2.3K citations
Theories of the Policy Process
Jennifer A. Rippner · 2015 · 1.4K citations
Public Affairs, Public Policy, Markov Decision Processes +11