全球智库信息集成服务系统(G2TT): Changes in Household Diet: Determinants and Predictability

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w24892
来源ID	Working Paper 24892
	Changes in Household Diet: Determinants and Predictability
	Stefan Hut; Emily Oster
发表日期	2018-08-13
出版年	2018
语种	英语
摘要	We use grocery purchase data to analyze dietary changes. We show that households – including those with more income or education - do not improve diet in response to disease diagnosis or changes in household circumstances. We then identify households who show large improvements in diet quality. We use machine learning to predict these households and find (1) concentration of baseline diet in a small number of foods is a predictor of improvement and (2) dietary changes are concentrated in a small number of foods. We argue these patterns may be well fit by a model which incorporates attention costs.
主题	Health, Education, and Welfare ; Health
URL	https://www.nber.org/papers/w24892
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/582566
推荐引用方式 GB/T 7714	Stefan Hut,Emily Oster. Changes in Household Diet: Determinants and Predictability. 2018.