Crime Clearance Using Linked National Incident Reporting System (NIBRS) Data and Law Enforcement Management and Administrative Statistics (LEMAS) Data

Aki Roberts, University of New Mexico

ABSTRACT
To improve crime clearance rates, it is important to better understand individual and aggregate level influences on crime clearance. Individual level factors include victim characteristics, circumstances of the crime incident, and victim-offender relationship. Aggregate level factors include the level of police agency resources and activities, including the number of police and expenditures per served population, and whether the agency has community policing or advanced crime lab units. Previous quantitative studies on crime clearance have not simultaneously investigated the effects of both aggregate and individual level factors. The current research examine the effects of both aggregate and individual level factors on violent crime clearance using linked National Incident Based Reporting System (NIBRS) data and Law Enforcement Management and Administratibe Statistics (LEMAS) data. NIBRS data provide individual level information on characteristics of the crime and victim, while LEMAS data provide aggregate level information on police agency charcteristics. The first part of the study willuse logistic regression to examine how aggregate and individual level factors influence crime clearance, defined as whether or not the crime was cleared within a specified time interval. For the second part, survival (event hitory) analysis will be used to investigate the effect of aggregate and individual factors on the length of time from incident to clearance.

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Updated 05/20/2006