Using publicly available data to predict recreational cannabis legalization at the county-level: A machine learning approach
- DOI
- 10.1016/j.drugpo.2024.104340
- Published
- 2024-03
- Container
- International Journal of Drug Policy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.drugpo.2024.104340,
title = {Using publicly available data to predict recreational cannabis legalization at the county-level: A machine learning approach},
author = {Barrett Wallace Montgomery and Xiaoran Tong and Olga Vsevolozhskaya and James C. Anthony},
year = {2024},
journal = {International Journal of Drug Policy},
doi = {10.1016/j.drugpo.2024.104340},
url = {https://doi.org/10.1016/j.drugpo.2024.104340}
}RIS
TY - JOUR TI - Using publicly available data to predict recreational cannabis legalization at the county-level: A machine learning approach AU - Barrett Wallace Montgomery AU - Xiaoran Tong AU - Olga Vsevolozhskaya AU - James C. Anthony PY - 2024 JO - International Journal of Drug Policy DO - 10.1016/j.drugpo.2024.104340 UR - https://doi.org/10.1016/j.drugpo.2024.104340 ER -
APA
Montgomery, B. W., Tong, X., Vsevolozhskaya, O., & Anthony, J. C. (2024). Using publicly available data to predict recreational cannabis legalization at the county-level: A machine learning approach. International Journal of Drug Policy. https://doi.org/10.1016/j.drugpo.2024.104340
Source records
- crossref · retrieved 2026-09-26T21:27:11.431Z