2003
DOI: 10.1093/ei/41.1.98
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Price and Enforcement Effects on Cocaine and Marijuana Demand

Abstract: This article estimates equations for past year cocaine and marijuana use among adult and juvenile respondents of the 1990–97 National Household Surveys on Drug Abuse. Unlike most previous studies, we control for the monetary price of marijuana, probabilities of arrest for marijuana and cocaine possession, and state fixed effects. Results indicate that cocaine prices are inversely related to adult cocaine and marijuana demand but are unrelated to juvenile drug demand, marijuana price effects are always statisti… Show more

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Cited by 108 publications
(62 citation statements)
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“…While the ideal measure to capture enforcement would be possession arrests per unit of consumption, annualized consumption information is not available at the county level. DeSimone and Farrelly (2003) demonstrate with data from the 1990-1997 National Household Surveys on Drug Abuse that the effect of the probability of arrest on selfreported use rates for adults is negative regardless of whether they denominated by number of users or number of Index I arrests. Thus, we believe marijuana arrests as a fraction of all arrests in a county is a reasonable proxy for the probability of being arrested for possession.…”
Section: Data and Empirical Modelmentioning
confidence: 73%
See 1 more Smart Citation
“…While the ideal measure to capture enforcement would be possession arrests per unit of consumption, annualized consumption information is not available at the county level. DeSimone and Farrelly (2003) demonstrate with data from the 1990-1997 National Household Surveys on Drug Abuse that the effect of the probability of arrest on selfreported use rates for adults is negative regardless of whether they denominated by number of users or number of Index I arrests. Thus, we believe marijuana arrests as a fraction of all arrests in a county is a reasonable proxy for the probability of being arrested for possession.…”
Section: Data and Empirical Modelmentioning
confidence: 73%
“…11 Almost 88 percent of arrestees in the analysis sample live in states where possession of 10 grams can be conditionally discharged. We focus on fines and allowances for conditional discharges because they have been shown to be correlated with demand in previous studies DeSimone and Farrelly, 2003;Pacula et al, 2003).…”
Section: Data and Empirical Modelmentioning
confidence: 99%
“…10 Drug price and purity are important determinants for illicit drug use-and, consequently, for health services utilization-and for the magnitude of the pharmacological effect of the drugs used. [11][12][13][14] In recent years, a key debate in national drug policy and legislation has been whether drug abusers, especially heavy drug users, are responsive to changes in drug prices. [13][14][15] There is limited research examining the relationship between cocaine prices and ED visits.…”
Section: Introductionmentioning
confidence: 99%
“…Desimone and Farrelly (2003), There are some inconsistencies in the findings for youth with respect to the effects of decriminalization, which may be due a combination of weak analytic approaches, the nonuniqueness of this policy in terms of actual penalties faced by users, and the apparent lack of knowledge about these policies Room et al, 2008;Pacula, Chriqui and King, 2003). As there has been very little variation in decriminalization policies since the late 1970s and in light of what has been learned about identifying causal effects, it is truly difficult to infer anything from results with respect to the decriminalization status variable.…”
mentioning
confidence: 99%
“…They find an annual participation elasticity for individuals 18-20 of -0.16 and an annual participation elasticity among 21 -24 year olds of -0.26, suggesting that the older group is even more sensitive to changes in price. DeSimone and Farrelly (2003) estimate models of annual prevalence and frequency of marijuana use among 18-39 year olds from the 1990-1997 NSDUH, which they compare to results for 12-17 year olds from the same survey years. Their models include measures of the monetary price of marijuana in addition to enforcement risk, represented as the number of marijuana arrests divided by the number of marijuana users within the state.…”
mentioning
confidence: 99%