Decriminalization and Marijuana Smoking Prevalence: Evidence From Australia

被引:19
|
作者
Damrongplasit, Kannika [1 ,4 ,5 ]
Hsiao, Cheng [2 ,3 ,6 ]
Zhao, Xueyan [7 ,8 ]
机构
[1] Univ Calif Los Angeles, Sch Publ Hlth, Dept Hlth Serv, Los Angeles, CA 90095 USA
[2] City Univ Hong Kong, Dept Econ & Finance, Kowloon, Hong Kong, Peoples R China
[3] Univ So Calif, Dept Econ, Los Angeles, CA 90089 USA
[4] RAND Corp, Santa Monica, CA 90407 USA
[5] Nanyang Technol Univ, Div Econ, Sch Humanities & Social Sci, Singapore 637332, Singapore
[6] Xiamen Univ, Wang Yanan Inst Studies Econ WISE, Xiamen 361005, Peoples R China
[7] Monash Univ, Dept Econometr & Business Stat, Melbourne, Vic 3800, Australia
[8] Monash Univ, Ctr Hlth Econ, Melbourne, Vic 3800, Australia
关键词
Average treatment effect; Bootstrapping; Endogenous probit switching; Illicit drugs; Parametric and nonparametric specification analysis; Propensity score matching; ALCOHOL; CONSUMPTION; DEMAND;
D O I
10.1198/jbes.2009.06129
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article uses the 2001 National Drug Strategy Household Survey to assess the impact of marijuana decriminalization policy on marijuana smoking prevalence in Australia. Both parametric and nonparametric methods are used. The parametric approach includes endogenous probit switchin2, two-part, sample selection, and standard dummy variable models, while the nonparametric approach uses propensity score stratification matching. Specification analyses are also conducted. A nonparametric kernel-based test is constructed to select between parametric and nonparametric models, and the likelihood ratio test is used to choose among parametric models. Our analyses favor the endogenous switching model where decriminalization increases the probability of smoking by 16.2%.
引用
收藏
页码:344 / 356
页数:13
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