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Activity Number: 322 - Novel Statistical Methods for Current Health Policy Issues
Type: Contributed
Date/Time: Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
Sponsor: Health Policy Statistics Section
Abstract #313906
Title: The Socioeconomic Impact of Marijuana Legalization in the United States Using Generalized Synthetic Controls
Author(s): Elina Choi* and Hyunseung Kang
Companies: University of Wisconsin-Madison and University of Wisconsin-Madison
Keywords: Marijuana Legalization; Generalized Synthetic Controls; Recreational Marijuana; Causal Effect

The potential social impacts of marijuana legalization have been heavily debated over the past decades, as more states have legalized recreational marijuana. Previous literature utilizing a regression-based model suggested no effects of marijuana legalization on crime rates, migration rates, body weight, and educational outcomes. This paper presents a comprehensive analysis of the effect of legalizing recreational marijuana on various socioeconomic and crime-related outcomes, including crime rate by different crime types, income per capita, GDP, incarceration rates, and unemployment rate. We use generalized synthetic controls to assess the causal effect. Our findings support previous studies on the harmlessness of marijuana laws in crime and could be used to support the legalization of marijuana for recreational purposes.

Authors who are presenting talks have a * after their name.

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