Maciel Fernanda Araujo, Duarte Diogo
California State University, Sacramento, College of Business, 6000 J Street, Sacramento, CA 95819, USA.
Florida International University, College of Business, 11200 S.W. 8th St., 236, Miami, FL 33199, USA.
Health Policy Open. 2022 Dec 6;4:100087. doi: 10.1016/j.hpopen.2022.100087. eCollection 2023 Dec.
We assess the impact of the Brazilian government's conditional cash transfer program Bolsa Família on unhealthy consumption by households, proxied by expenses with ultra-processed food, alcohol, and tobacco products. Using machine learning techniques to improve the propensity score estimation, we analyze the intensive and extensive margin effects of participating in the program on the household purchase of unhealthy products. Our results reveal that program participants spend more on food in general, but not necessarily more on unhealthy options. While we find evidence that participants increase their probability of spending more on food away from home, they do not significantly alter their expenditures on packaged food, alcohol, or tobacco products.
我们评估了巴西政府的有条件现金转移支付计划“家庭补助金”对家庭不健康消费的影响,以超加工食品、酒精和烟草产品的支出作为代理变量。我们运用机器学习技术改进倾向得分估计,分析参与该计划对家庭购买不健康产品的集约边际效应和粗放边际效应。我们的研究结果表明,该计划的参与者总体上在食品上的支出更多,但不一定在不健康食品选项上支出更多。虽然我们发现有证据表明参与者增加了在外出就餐上支出更多的可能性,但他们并未显著改变在包装食品、酒精或烟草产品上的支出。