Marijuana and Crime: Is there a Connection Beyond Prohibition?

We examine the relationship between marijuana use and non-drug related crime using data on arrests from the Arrestee Drug Abuse Monitoring (ADAM) Program and Uniform Crime Reports. There is a positive association between self-reported use at the time of the offence and non-drug related violent, property and income-producing crime even after accounting for other substance use in the ADAM data. Reduced form equations using both data sets only provide evidence supporting a causal mechanism for property and income-producing crime. In the case of violent crime, we find a statistically significant association with arrests but not reported crime, suggesting that marijuana use may just influence the likelihood of getting caught committing these crimes.

An Examination of Gender and Race Differences in Youth Smoking Responsiveness to Price and Tobacco Control Policies

Nationally representative studies consistently report significant gender and racial differences in youth smoking rates, although little research has been done to explain why. In this paper we examine one possible source for this variation: differences in youth responsiveness to changes in price or tobacco control policies. Using data from the 1992-1994 Monitoring the Future surveys, we find that young men are much more responsive to changes in the price of cigarettes than young women. The participation elasticity for men is almost twice as large as that for women. Further, we find that smoking rates of young black men are significantly more responsive to changes in price than young white men. In addition, we find significant differences in responsiveness to particular tobacco control policies. Smoking rates among white youths are responsive to anti-tobacco activities and clean indoor air restrictions, while smoking rates among black youths are significantly influenced by smoker protection laws and restrictions on youth access.

Does Marijuana Use Impair Human Capital Formation?

In this paper we examine the relationship between marijuana use and human capital formation by examining performance on standardized tests among a nationally representative sample of youths from the National Education Longitudinal Survey. We find that much of the negative association between cross-sectional measures of marijuana use and cognitive ability appears to be attenuated by individual differences in school attachment and general deviance. However, difference-in-difference estimates examining changes in test scores across 10th and 12th grade reveal that marijuana use remains statistically associated with a 15% reduction in performance on standardized math tests.

Marijuana Decriminalization: What does it mean in the United States?

It is well known in the drug policy field that eleven states reduced the criminal sanctions associated with possession of small amounts of marijuana. In this paper we review the eleven original decriminalization statutes, documenting key dimensions of these laws and identifying their common denominator. We then examine state laws in effect as of December 31, 1999, along the same key dimensions and show that it is impossible to uniquely identify the so-called decriminalized states. We show the extent to which non-decriminalized states have also reduced penalties associated with possession of small amounts of marijuana as early as 1989, calling into question the interpretation of studies evaluating this policy during the past decade. We conclude by showing that the inclusion of legal dimensions of the policy does not diminish the association identified between decriminalization and recent use, raising questions about how researchers should interpret such findings.

Risks and Prices: The Role of User Sanctions in Marijuana Markets

User sanctions influence the legal risk for participants in illegal drug markets. A change in user sanctions may change retail drug prices, depending on how it changes the legal risk to users, how it changes the legal risk to dealers, and the slope of the supply curve. Using a novel dataset with rich transaction-level information, this paper evaluates the impact of recent changes in user sanctions for marijuana on marijuana prices. The results suggest that lower legal risks for users are associated with higher marijuana prices in the short-run, which ceteris paribus, implies higher profits for drug dealers. Additionally, the findings have important implications for thinking about the slope of the supply curve and interpreting previous research on the effect of drug laws on demand for marijuana.

Do Higher Cigarette Prices Encourage Youth to Use Marijuana?

Every major national tobacco legislation proposed in the past two years has called for significant increases in the price of cigarettes as a way to discourage youths from smoking. One argument used to oppose these bills is that increases in the price of cigarettes would cause youths to substitute marijuana for cigarettes. Although it has long been believed that cigarettes are a gateway drug,' no economic research has been done to determine whether cigarettes and marijuana are economic complements or substitutes. This paper begins to fill the void in the current research by examining the contemporaneous relationship between the demands for cigarettes and marijuana among a nationally representative sample of 8th, 10th and 12th graders from the 1992-1994 Monitoring the Future Project. Two part models are used to estimate reduced form demand equations. Examination of the cross-price effects clearly shows that higher cigarette prices will not increase marijuana use among youths. In addition to reducing youth smoking, we find that higher cigarette prices significantly reduce the average level of marijuana used by current users. Cigarette prices also have a negative effect on the probability of using marijuana findings are not significant at conventional levels.

The Effects of Prices and Policies on the Demand for Marijuana: Evidence from the National Household Surveys on Drug Abuse

Recent studies have shown that efforts to curb alcohol use by increasing the price of alcohol and limiting youth's access have succeeded, but they may have had the unintended consequencce of increasing marijuana use. This possibility is troubling in light of a recent government report that shows that marijuana use among teens more than doubled between 1990 and 1997. What impact will the proposed large increase in cigarette prices have on the demand for other substances such as marijuana? To better understand how the demand for marijuana responds to changes in the policies and prices that affect its use, we explore the National Household Survy on Drug Abuse (NHSDA). Overall, we find that marijuana, alcohol, and tobacco are complements, sot that increasing the price of any one will decrease the demand for marijuana. The results of this paper will help guide the creation of comprehensive policies that curb the use of marijuana in two ways: first, they quantify the effects of policies aimed at curbing the use of each substance, allowing policymakers to evaluate alternative policy options; and second, they clarify the dynamics and interactions between alcohol, tobacco, and marijuana use in response to government policies.

Evolutionary algorithms for compiler-enabled program autotuning

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student submitted PDF version of thesis.Includes bibliographical references (p. 116-122).PetaBricks [4, 21, 7, 3, 5] is an implicitly parallel programming language which, through the process of autotuning, can automatically optimize programs for fast QoS-aware execution on any hardware. In this thesis we develop and evaluate two PetaBricks autotuners: INCREA and SiblingRivalry. INCREA, based on a novel bottom-up evolutionary algorithm, optimizes programs offline at compile time. SiblingRivalry improves on INCREA by optimizing online during a program's execution, dynamically adapting to changes in hardware and the operating system. Continuous adaptation is achieved through racing, where half of available resources are devoted to always-on learning. We evaluate INCREA and SiblingRivalry on a large number of real-world benchmarks, and show that our autotuners can significantly speed up PetaBricks programs with respect to many non-tuned and mis-tuned baselines. Our results indicate the need for a continuous learning loop that can optimize efficiently by exploiting online knowledge of a program's performance. The results leave open the question of how to solve the online optimization problem on all cores, i.e. without racing.by Maciej Pacula.M.Eng

Marijuana and Youth

This paper contains the first estimates of the price sensitivity of the prevalence of youth marijuana use. Survey data on marijuana use by high school seniors from the Monitoring the Future Project are combined with data on marijuana prices and potency from the Drug Enforcement Administration Office of Intelligence or Intelligence Division. Our estimates of the price elasticity of annual marijuana participation range from 0.06 to 0.47, while those for thirty day participation range from 0.002 to 0.69. These estimates clearly imply that changes in the real, quality adjusted price of marijuana contributed significantly to the trends in youth marijuana use between 1982 and 1998, particularly during the contraction in use from 1982 to 1992. Similarly, changes in youth perceptions of the harms associated with regular marijuana use had a substantial impact on both the contraction in use during the 1982 though 1992 period and the subsequent expansion in use after 1992. These findings underscore the usefulness of considering price in addition to more traditional determinants in any analysis of marijuana consumption decisions made by youths.