Diabetes and Diet: Purchasing Behavior Change in Response to Health Information

• 成果类型: Article
• 署名作者: Oster, Emily
• 署名单位: Brown University; National Bureau of Economic Research
• 刊物名称: AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS
• ISSN/ISSBN: 1945-7782
• DOI: 10.1257/app.20160232
• 发表日期: 2018
• 页码: 308-348
• 关键词: life-style intervention; type-2; prevention; reduction; adherence

摘要

Individuals with obesity and related conditions are often reluctant to change their diet. Evaluating the details of this reluctance is hampered by limited data. I use household scanner data to estimate food purchase response to a diagnosis of diabetes. I use a machine learning approach to infer diagnosis from purchases of diabetes-related products. On average, households show significant, but relatively small, calorie reductions. These reductions are concentrated in unhealthy foods, suggesting they reflect real efforts to improve diet. There is some heterogeneity in calorie changes across households, although this heterogeneity is not well predicted by demographics or baseline diet, despite large correlations between these factors and diagnosis. I suggest a theory of behavior change that may explain the limited overall change and the fact that heterogeneity is not predictable.