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Objectives: To invoke behavioral economics theories of ambiguity in the context of offender decision-making, and to test the impact of ambiguity in punishment certainty on offender decisions. Methods: We leverage a quasi-experimental condition among a sample of drunk driving arrestees that are tested for alcohol use and subject to mandatory brief incarceration for a violation. The treatment condition relaxes a zero-tolerance alcohol rule, thereby introducing design-based ambiguity surrounding the certainty of punishment. We use Mahalanobis matching and propensity score weighting methods to estimate the impact of ambiguity on violations. We then interrogate this finding with complementary sensitivity analyses. Results: When facing the ambiguity condition participants are 27–28 percentage points (84–93 percent) more likely to violate program conditions after 30 days of supervision. We demonstrate that a statistical difference in violations due to ambiguity is still detectible at 90 and 180 days of supervision. These results are robust to alternative specifications and falsification tests. Conclusions: This study is the first to examine the impact of ambiguity on criminal justice program compliance using a quasi-experiment from the field. We further demonstrate the unintended costs to persons under supervision and jurisdictions of laxity in program design, which are applicable across criminal justice domains. [ABSTRACT FROM AUTHOR]

Objectives: Evaluate the deterrent effect of a program that increases the certainty and celerity of sanction for arrestees ordered to abstain from alcohol and other drugs on substance-impaired driving arrests. Methods: We examine participant compliance with orders to abstain from alcohol and other drug use via breathalyzer, body-worn continuous alcohol monitoring devices, transdermal drug patches, and urinalyses. We then evaluate the impact of the 24/7 Sobriety program on substance-impaired driving arrests. Using variation across counties in the timing of program implementation in North Dakota as a natural experiment, we use difference-in-differences fixed effects Poisson regressions to measure the program's effect on county-level arrests for substance-impaired driving. Results: Over half of participants ordered to abstain from substance use complete 24/7 Sobriety without a detected substance use event. At the county level, the program is associated with a 9% reduction in substance-impaired driving arrests after accounting for the impact of oil exploration in the Bakken region, law enforcement intensity, alcohol availability, whether the state's large universities were in session, and socio-demographic characteristics. We find that the Bakken oil boom is associated with a 22% increase in substance-impaired driving arrests. Conclusions: The results suggest frequent monitoring combined with increased sanction celerity deters substance use-involved crime. While the results are generally consistent with an earlier study of 24/7 Sobriety in another state, differences in the study outcome measures implementation choices across states make direct comparisons difficult. More can be learned by conducting randomized controlled trials that vary time on program, testing technology, and/or level of sanction. [ABSTRACT FROM AUTHOR]

Aims Drug policy strategies and discussions often use prevalence of drug use as a primary performance indicator. However, three other indicators are at least as relevant: the number of heavy users, total expenditures and total amount consumed. This paper stems from our efforts to develop annual estimates of these three measures for cocaine (including crack), heroin, marijuana and methamphetamine in the United States. Methods The estimates exploit complementary strengths of a general population survey ( National Survey on Drug Use and Health) and both survey and urinalysis test result data for arrestees ( Arrestee Drug Abuse Monitoring Program), supplemented by many other data sources. Results Throughout the 2000s US drug users spent in the order of $100 billion annually on these drugs, although the spending distribution and use patterns changed dramatically. From 2006 to 2010, the amount of marijuana consumed in the United States probably increased by more than 30%, while the amount of cocaine consumed in the United States fell by approximately 50%. These figures are consistent with supply-side indicators, such as seizures and production estimates. For all the drugs, total consumption and expenditures are driven by the minority of users who consume on 21 or more days each month. Conclusions Even for established drugs, consumption can change rapidly. The halving of the cocaine market in five years and the parallel (but independent) large rise in daily/near-daily marijuana use are major events that were not anticipated by the expert community and raise important theoretical, research, and policy issues. [ABSTRACT FROM AUTHOR]