Showing 1 – 3 of 3 results.
Curated
Criminal Histories and Criminal Justice Processing of Drug Use Forecasting (DUF) Sample Members in Washington, DC, 1989-1991 (ICPSR 6122)
Released/updated on: 2006-01-12
Geographic coverage: United States
Time period: 1989-01-01--1991-01-01
These data provide information on the relationship between arrestee drug tests and future criminality once other risk factors, such as prior criminal history, are accounted for. Also explored is whether the association between drug test results and future offending varies depending upon the attributes of individual offenders. The dataset contains information drawn from the Pretrial Services Agency (PSA) in Washington, DC, and the National Institute of Justice's Drug Use Forecasting (DUF) program. Data are available from each source for 1989 and 1990 with subsequent arrest data provided by PSA through August 1991. The 1989-1990 data supplied by PSA contain information on criminal history and drug test results taken at the time of arrest. Data provided from the DUF program include drug test results from a sample of persons arrested as well as information obtained from arrestee interviews on items such as family and work status. The combined data contain the arrestees' demographic characteristics, arrest and charge information, prior criminal history, and subsequent offending. Drugs tested for include cocaine, opiates, methadone, PCP, amphetamines, barbiturates, marijuana, methaqualone, Darvon, and Valium. In addition, self-reported information regarding an individual's use of and dependency on these drugs is supplied. Demographic information includes age, sex, income, and employment status. Due to changes in the DUF measurement instrument from 1989 to 1990, the variables contained in the two data files are not completely identical.
Curated
Restricted
Drug Use Forecasting in 24 Cities in the United States, 1987-1997 (ICPSR 9477)
Released/updated on: 1998-07-15
Geographic coverage: United States
Time period: 1987-06-01--1997-12-01
The Drug Use Forecasting (DUF) Program measures levels of and trends in drug use among persons arrested and booked in the United States. The data address the following topics: (1) types of drugs used by arrestees (based on self-reports and urinalysis), (2) self-reported dependency on drugs, (3) self-reported need for alcohol/drug treatment, (4) the relationship between drug use and certain types of offenses, and (5) the relationship between self-reported indicators of drug use and indicators of drug use based on urinalysis. Participation in the project is voluntary, and all information collected from the arrestees is anonymous and confidential. The data include the arrestee's age, race, gender, educational attainment, marital status, and the charge at the time of booking. The recently modified DUF interview instrument (used for part of the 1995 data and all of the 1996 and 1997 data) also collected information about the arrestee's use of 15 drugs, including recent and past use (e.g., 3-day and 30-day drug use) of each of these drugs, age at first use, and whether the arrestee had ever been dependent on drugs. In the original DUF interview instrument (used for the 1987 to 1994 data and part of the 1995 data), the information collected was the same as above except that the use of 22 drugs was queried, and the age at which the arrestee first became dependent on the drug was included. Arrestees also were questioned in the original instrument about their history of intravenous drug use, whether the consideration of AIDS influenced whether they shared needles, history of drug and alcohol treatment, their past and current drug treatment needs, and how many persons they had sex with during the past 12 months. Finally, arrestees were asked to provide a urine specimen, which was screened for the presence of ten drugs, including marijuana, opiates, cocaine, PCP, methadone, benzodiazepines (Valium), methaqualone, propoxyphene (Darvon), barbiturates, and amphetamines (positive test results for amphetamines were confirmed by gas chromatography). The Gun Addendum Data (Parts 27, 35, and 37) contain variables on topics such as arrestees' encounters with guns, whether they agreed or disagreed with statements about guns, gun possession, how they obtained handgun(s), whether they were armed with a gun at their arrest or during crimes, and if they had ever used a gun against another person. The Heroin Addendum Data, 1995 (Part 29) contains information that was formerly covered in the main annual file in 1992-1994, but in 1995 was revised and prepared as a separate dataset.
Curated
Estimating the Elasticities of Demand for Cocaine and Heroin with Data from 21 Cities from the Drug Use Forecasting (DUF) Program, 1987-1991 (ICPSR 6567)
Released/updated on: 2006-03-30
Geographic coverage: United States
Time period: 1987-01-01--1991-01-01
The objective of this research was to estimate the elasticity of the demand for cocaine and heroin with respect to the price. Price elasticity is the percentage of change in the dependent quantity corresponding to a one-percent change in price. The project involved the development of an econometric model to determine price elasticity, given that national- and city-level data on the consumption of cocaine and heroin are insufficient or nonexistent. The researchers circumvented this lack of data by partitioning the desired elasticity into the product of two elasticities, involving a measurable intermediate quantity whose relationship to the quantity of consumption could be modeled and estimated by measurable techniques. The intermediate quantity used for this project was the fraction of arrestees testing positive for cocaine or heroin as measured by the Drug Use Forecasting (DUF) System. From the Drug Enforcement Administration's (DEA's) System to Retrieve Information from Drug Evidence (STRIDE) data, expected purity was computed by regressing on log quantity and dummy variables for location and quarter. Price series were produced by finding the median standardized price per expected pure gram for each location and quarter. Variables for Part 1, National Data, include year, quarter, standardized prices for a gram of cocaine and a gram of heroin, and expected purity of cocaine and heroin. The Cities Data, Part 2, cover city, year, quarter, number of observations used to compute the median price of cocaine and heroin, standardized prices, and expected purity.