看着大麻生长:娱乐性大麻合法化会影响零售业和农业工资吗?

Sichao Jiang, Keaton Miller
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引用次数: 1

摘要

背景:在过去的几年里,大麻在美国许多州和世界各地的司法管辖区已经成为娱乐用途的合法产品。这些市场的开放导致了数百家大麻生产和零售公司的建立,随之而来的是对劳动力的需求,导致人们担心现有企业的工资会受到溢出效应。方法:采用差异中差异法和综合对照法对2000年至2019年华盛顿州和科罗拉多州的农业和零售业劳动力市场进行了研究。我们使用的就业数据来自就业和工资季度普查,美国人口普查局的州级人口数据,以及国家农业统计局的农业数据。我们使用最小的绝对收缩和选择算子(LASSO)进行变量选择,分类和回归树(CART)用于缺失值的链式imputation。结果:我们发现几乎没有证据表明大麻合法化对每个工人的周薪产生了显著差异:华盛顿州农业部门的每个工人周薪的对数减少了0.013 (p值0.091),华盛顿州零售业的对数增加了0.059 (p值0.606)。科罗拉多州的结果在质量上是相似的。这些结果在一定程度上受到数据合法化后短暂时期的限制。结论:大麻合法化不太可能通过劳动力市场渠道对现有农业或零售公司产生负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Watching the grass grow: does recreational cannabis legalization affect retail and agricultural wages?

Watching the grass grow: does recreational cannabis legalization affect retail and agricultural wages?

Watching the grass grow: does recreational cannabis legalization affect retail and agricultural wages?

Watching the grass grow: does recreational cannabis legalization affect retail and agricultural wages?

Background: Over the past several years, cannabis has become legal for recreational use in many US states and jurisdictions around the world. The opening of these markets has led to the establishment of hundreds of cannabis production and retail firms with accompanying demand for labor, leading to concerns about spillover effects on wages from incumbents.

Methods: We study the markets for agricultural and retail labor in Washington and Colorado from 2000 to 2019 using differences-in-differences with synthetic controls. We employ employment data from the Quarterly Census of Employment and Wages, state-level demographic data from the US Census Bureau, and agricultural data from the National Agricultural Statistics Service. We use the least absolute shrinkage and selection operator (LASSO) for variable selection and classification and regression trees (CART) for chained imputation of missing values.

Results: We find little-to-no evidence of a significant difference in weekly wages per worker generated by cannabis legalization: the log of the weekly wage per worker decreases by 0.013 in Washington's agricultural sector (p value 0.091) and increases by 0.059 in Washington's retail sector (p value 0.606). Results in Colorado are qualitatively similar. These results are limited in part by the short post-legalization period of the data.

Conclusions: Cannabis legalization is unlikely to negatively impact incumbent agriculture or retail firms through the labor market channel.

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