Marijuana use and labor productivity in the United States
(2019) NEKN01 20191Department of Economics
- Abstract
- This thesis investigates the role of marijuana use in labor productivity in the United States with the aim to contribute to the discussion and understanding of economic consequences of marijuana legalization. The data is sourced from various federal agencies to create a panel of 50 U.S. states and the District of Columbia for the period of 2005-2017. A panel data model with fixed effects is
estimated using instrumental variables to account for biases arising from endogeneity problems stemming from simultaneity and measurement errors. The results suggest that marijuana use does not have a statistically significant effect on labor productivity.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8996568
- author
- Voronetskyy, Bogdan LU
- supervisor
- organization
- course
- NEKN01 20191
- year
- 2019
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- labor productivity, drug use, marijuana, instrumental variables
- language
- English
- id
- 8996568
- date added to LUP
- 2019-11-25 07:30:25
- date last changed
- 2019-11-25 07:30:25
@misc{8996568, abstract = {{This thesis investigates the role of marijuana use in labor productivity in the United States with the aim to contribute to the discussion and understanding of economic consequences of marijuana legalization. The data is sourced from various federal agencies to create a panel of 50 U.S. states and the District of Columbia for the period of 2005-2017. A panel data model with fixed effects is estimated using instrumental variables to account for biases arising from endogeneity problems stemming from simultaneity and measurement errors. The results suggest that marijuana use does not have a statistically significant effect on labor productivity.}}, author = {{Voronetskyy, Bogdan}}, language = {{eng}}, note = {{Student Paper}}, title = {{Marijuana use and labor productivity in the United States}}, year = {{2019}}, }