Abstract
Objectives
The decision to carry a gun by drug market participants involves consideration of the potential for conflict with other market actors, the need for self-protection, and the desire for reputation and status, among other factors. The objective of this study is to investigate the motives, contingencies, and situational factors that influence criminal gun possession among drug market participants.
Methods
Using data on drug offenders from the 2004 Survey of Inmates in State and Federal Correctional Facilities, we estimate design-based logistic regression models within a multiple imputation framework to investigate the influence of drug market features and participant characteristics on gun carrying behavior.
Results
Overall, 7 % of the drug offenders in our sample carried a firearm during the offense for which they were incarcerated. Our multivariate findings indicate that a number of factors condition drug market participants’ propensity for gun carrying, including individual psychopharmacological, economic-compulsive, and systemic factors as well as broader features of the marketplace, including the type of drug market, the value of the drugs, and certain structural characteristics.
Conclusions
Our findings have a number of implications for designing drug market interventions. Directing enforcement resources against emerging, expanding, or multi-commodity drug markets could deter lethal violence more than interventions targeting stable, single-commodity markets. In addition to open-air street markets, targeting higher-level and closed market segments could realize meaningful gun violence reductions. Finally, the expansion of promising focused deterrence strategies that combine deterrence and support initiatives could further deescalate gun violence.
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Notes
The n = 4,765 figure includes n = 4,569 cases designated by BJS as offenders with a controlling drug offense plus an additional n = 196 cases with a nominal nondrug offense (e.g., weapons, parole/probation violation, public order, conspiracy, or racketeering) that were administered the drug module because of the underlying drug-related nature of their offense.
This measure was coded 1 with affirmative responses to the following two questions: “While you were growing up, did you have friends you hung around with who engaged in activities such as using drugs; destroying or damaging property that did not belong to them; shoplifting; stealing motor vehicles or parts from motor vehicle; selling stolen property; breaking into homes or other buildings; selling, importing, or manufacturing drugs; mugging, robbing or extorting money from people; or any other illegal activity?” and, if so, “Did you participate in ANY of these activities with your friends?”.
Based on the question “Approximately what amount of [drug] was involved?”, we first converted each reported drug amount into a common metric. Heroin, methamphetamine, crack cocaine, powder cocaine, and marijuana quantities were converted to grams, whereas PCP, LSD, ecstasy, opiates, barbiturates, and other pharmaceuticals were converted to dosage units (i.e., pills, tabs). For nonstandard metrics, we assumed one bag/vial/pill of heroin or methamphetamine to be .1 g, one rock or vial of crack or powder cocaine to be .2 g, and one marijuana joint to be .5 g. Likewise, we assumed .1 g of opiates and .3 g of sedatives/barbiturates to be one dosage unit. We then obtained the quartile distribution for each drug category and used that for the final measure. For the 12 % of cases that reported multiple drugs, we took the highest indicated quartile among the reported drugs.
This measure was derived from the following two items: “At the time of your arrest, were you importing or helping others import illegal drugs into the United States; illegally manufacturing, growing or helping others manufacture or grow drugs; laundering drug money; distributing or helping to distribute drugs to dealers; selling or helping to sell drugs to others for their use; or using or possessing illegal drugs?” and, if yes to certain roles, “Were you a street-level dealer; dealer above the street-level dealer; bodyguard, strongman or debt collector; go-between or broker; money runner; or courier, mule or loader?” Note that the ‘other unspecified role’ category comprises n = 704 respondents who answered ‘no’ to all specified roles in the first question. The large number of non-affirmative responses is due both to the lack of an open-ended specify option for this item and question phrasing that refers to the role played “at the time of arrest,” as conspiratorial acts are often completed well before an arrest takes place.
Specifically, the question states “Did the offense take place at or in your own home or apartment; in a commercial place such as a bar, restaurant, gas station, store, office, or factory; in a public place such as at school, on the street, in a parking lot, on public transportation, in a station or depot, or in a park, etc.; some other place; or no one place/multiple incidents?”.
The SISFCF collected income data using a thirteen-level ordinal variable [(0) ‘No income,’ (1) ‘$1–199’… (11) ‘$5,000–7,499,’ (12) ‘$7,500 or more’]. We coded the median value for each income level, using a value of $8,750 for the final category. We then took the log of this distribution after adding a constant of 1.
The smaller reported percentage in the 4th quartile is explained by the higher rate of missing drug amount data among state drug offenders, resulting in relatively more predictions falling into the lower three quartiles.
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Sevigny, E.L., Allen, A. Gun Carrying Among Drug Market Participants: Evidence from Incarcerated Drug Offenders. J Quant Criminol 31, 435–458 (2015). https://doi.org/10.1007/s10940-014-9233-6
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DOI: https://doi.org/10.1007/s10940-014-9233-6