Crime Clearance and Temporal Variation in Police Investigative Workload: Evidence from National Incident-Based Reporting System (NIBRS) Data
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Police workload’s relationship with crime clearance has been studied widely. In the challenging environment now facing police, even small and possibly temporary changes in investigative workload could harm clearance. However existing workload-clearance research either used only a yearly average that obscures temporal variability in caseload, or explored proxy rather than direct measures of workload’s short-term variation. Our improved workload measures capture caseload’s daily changes as crimes are reported, cleared, or remain uncleared but reach the end of active investigation. We examine relationships between clearance and both long- and short-term variability in workload.
Using NIBRS and LEMAS data, we calculated between-agency (typical or long-term) and time-varying, within-agency (daily fluctuating or short-term) workload measures. We used these and other agency/jurisdiction- and incident-level variables in multi-level survival analysis of clearance by arrest for serious violent incidents from 2007 NIBRS.
Both workload measures were significantly and negatively related to the clearance hazard rate; higher long- and short-term workloads are associated with reduced chance of a case being cleared. The estimated relationship between longterm workload and clearance became progressively stronger (more negative) as the crime incident’s legal seriousness decreased. However, estimates indicated greater sensitivity of the clearance hazard to short-term workload fluctuations for more serious crimes, though the workload-clearance relationship remained negative for all crime types.
Crime clearance should be considered by police agency planners when addressing workload through staffing decisions. Refinement of our workload measures will require additional information, and should be considered in future agency- and incident-level data collection.
KeywordsNational Incident-Based Reporting System (NIBRS) Police workload Clearance by arrest Survival analysis Multi-level model
- Allison PD (1995) Survival analysis using the SAS system: a practical guide. SAS Institute, CaryGoogle Scholar
- Black DJ (1976) The behavior of law. Academic Press, New YorkGoogle Scholar
- Cameron S (1991) Policing in the uneconomic zone of the production function. J Socioecon 20:313–323Google Scholar
- Chaiken JM (1975) The criminal investigation process volume II: survey of municipal and county police departments. Rand Corporation, Santa MonicaGoogle Scholar
- Eck JE (1983) Solving crimes: the investigation of burglary and robbery. Police Executive Research Forum, Washington, DCGoogle Scholar
- Greenwood PW, Petersilia J (1975) The criminal investigation process, volume I: summary and policy implications. Rand Corporation, Santa MonicaGoogle Scholar
- Greenwood PW, Chaiken JM, Petersilia J (1977) The criminal investigation process. D. C. Heath & Co., LexingtonGoogle Scholar
- Morgan JB (1990) The police function and the investigation of crime. Gower Publishing Company, BrookfieldGoogle Scholar
- Police Executive Research Forum (2010) The anchorage police department staffing and deployment study. Police Executive Research Forum, Washington, DCGoogle Scholar
- Raghunathan TE, Lepkowski JM, Hoewyk JV, Solenberger P (2001) A multivariate technique for multiply imputing missing values using a sequence of regression models. Surv Methodol 27:85–95Google Scholar
- Riedel M, Jarvis JP (1998) The decline of arrest clearances for criminal homicide: causes, correlates, and third parties. Crim Justice Policy Rev 9:279–305Google Scholar
- Simon D (1991) Homicide: a year on the killing streets. Houghton Mifflin Company, BostonGoogle Scholar
- Survey Methodology Program (2011) IVEware: imputation and variance estimation. Version 0.2 users guide (supplement). Survey Research Center, Institute for Social Research, University of Michigan, Ann ArborGoogle Scholar
- Wellford C, Cronin J (1999) An analysis of variables affecting the clearance of homicides: a multistate study. Justice Research and Statistics Association, Washington, DCGoogle Scholar