2007Justice Research and PolicyRequires access

Hot vs. Cold Cases: Examining Time to Clearance for Homicides Using NIBRS Data

Lynn A. Addington

Open publisher page 53 citations

Abstract

Very little attention has been devoted to studying factors associated with how quickly murders are cleared. This dearth of knowledge is mainly due to a lack of available data, especially at the national level. Currently the Uniform Crime Reporting Program is undergoing a large-scale conversion from its traditional summary system form of data collection to the National Incident-Based Reporting System (NIBRS). One benefit of NIBRS is that it enables law enforcement agencies to report incident-level clearance information, including the incident and clearance dates. The present study utilizes NIBRS data to compare characteristics of homicides that are cleared quickly with those cleared over a longer period of time and those that are not cleared. Findings from this exploratory study confirm the conventional belief that murders are cleared quickly if at all, as a large drop in the percentage of cleared cases is observed one week after a murder occurs. The present research also suggests that incident characteristics play a dynamic role in predicting not only whether a murder is cleared, but how quickly. These findings provide new insights for studying clearance and suggest policy implications.

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What this paper is about

Very little attention has been devoted to studying factors associated with how quickly murders are cleared. This dearth of knowledge is mainly due to a lack of available data, especially at the national level. Currently the Uniform Crime Reporting Program is undergoing a large-scale conversion from its traditional summary system form of data collection to the National Incident-Based Reporting System (NIBRS). One benefit of NIBRS is that it enables law enforcement agencies to report incident-level clearance information, including the incident and clearance dates. The present study utilizes NIBRS data to compare characteristics of homicides that are cleared quickly with those cleared over a longer period of time and those that are not cleared. Findings from this exploratory study confirm the conventional belief that murders are cleared quickly if at all, as a large drop in the percentage of cleared cases is observed one week after a murder occurs. The present research also suggests that incident characteristics play a dynamic role in predicting not only whether a murder is cleared, but how quickly. These findings provide new insights for studying clearance and suggest policy implications.

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OpenAlex reports 53 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Very little attention has been devoted to studying factors associated with how quickly murders are cleared. This dearth of knowledge is mainly due to a lack of available data, especially at the national level. Currently the Uniform Crime Reporting Program is undergoing a large-scale conversion from its traditional summary system form of data collection to the National Incident-Based Reporting System (NIBRS). One benefit of NIBRS is that it enables law enforcement agencies to report incident-level clearance information, including the incident and clearance dates. The present study utilizes NIBRS data to compare characteristics of homicides that are cleared quickly with those cleared over a longer period of time and those that are not cleared. Findings from this exploratory study confirm the conventional belief that murders are cleared quickly if at all, as a large drop in the percentage of cleared cases is observed one week after a murder occurs. The present research also suggests that incident characteristics play a dynamic role in predicting not only whether a murder is cleared, but how quickly. These findings provide new insights for studying clearance and suggest policy implications.

Key concepts: Clearance, Data collection, Law enforcement, Exploratory research, Medicine, Political science, Law, Statistics

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