Helen H. Jensen , Brent E. Kreider , John V. Pepper , Oleksandr Zhylyevskyy , Kimberly A. Greder
{"title":"心理健康对粮食安全的因果影响。","authors":"Helen H. Jensen , Brent E. Kreider , John V. Pepper , Oleksandr Zhylyevskyy , Kimberly A. Greder","doi":"10.1016/j.jhealeco.2023.102804","DOIUrl":null,"url":null,"abstract":"<div><p>Although mental health conditions are known to be associated with socioeconomic hardships, their causal effects remain largely unexplored. Using a sample of low-income families in the National Health Interview Survey (NHIS), we assess causal effects of serious mental illness (SMI) and related mental health conditions on family food security. We apply partial identification methods to account for fundamental endogeneity and measurement identification problems in a unified framework. To implement these methods, we combine a proxy measure of SMI in the NHIS with an estimate of the true rate of SMI from the Substance Abuse and Mental Health Services Administration. We also develop an innovative approach to approximate true prevalence rates when only self-reported prevalence rates are available. Applying relatively weak monotonicity assumptions on latent food security outcomes, we find that alleviating SMI would improve the food security rate by at least 9.5 percentage points, or 15 %.</p><p><em>JEL codes:</em> C21, I10, I38</p></div>","PeriodicalId":50186,"journal":{"name":"Journal of Health Economics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Causal effects of mental health on food security\",\"authors\":\"Helen H. Jensen , Brent E. Kreider , John V. Pepper , Oleksandr Zhylyevskyy , Kimberly A. Greder\",\"doi\":\"10.1016/j.jhealeco.2023.102804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Although mental health conditions are known to be associated with socioeconomic hardships, their causal effects remain largely unexplored. Using a sample of low-income families in the National Health Interview Survey (NHIS), we assess causal effects of serious mental illness (SMI) and related mental health conditions on family food security. We apply partial identification methods to account for fundamental endogeneity and measurement identification problems in a unified framework. To implement these methods, we combine a proxy measure of SMI in the NHIS with an estimate of the true rate of SMI from the Substance Abuse and Mental Health Services Administration. We also develop an innovative approach to approximate true prevalence rates when only self-reported prevalence rates are available. Applying relatively weak monotonicity assumptions on latent food security outcomes, we find that alleviating SMI would improve the food security rate by at least 9.5 percentage points, or 15 %.</p><p><em>JEL codes:</em> C21, I10, I38</p></div>\",\"PeriodicalId\":50186,\"journal\":{\"name\":\"Journal of Health Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Health Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167629623000814\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Health Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167629623000814","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Although mental health conditions are known to be associated with socioeconomic hardships, their causal effects remain largely unexplored. Using a sample of low-income families in the National Health Interview Survey (NHIS), we assess causal effects of serious mental illness (SMI) and related mental health conditions on family food security. We apply partial identification methods to account for fundamental endogeneity and measurement identification problems in a unified framework. To implement these methods, we combine a proxy measure of SMI in the NHIS with an estimate of the true rate of SMI from the Substance Abuse and Mental Health Services Administration. We also develop an innovative approach to approximate true prevalence rates when only self-reported prevalence rates are available. Applying relatively weak monotonicity assumptions on latent food security outcomes, we find that alleviating SMI would improve the food security rate by at least 9.5 percentage points, or 15 %.
期刊介绍：
This journal seeks articles related to the economics of health and medical care. Its scope will include the following topics:
Production and supply of health services;
Demand and utilization of health services;
Financing of health services;
Determinants of health, including investments in health and risky health behaviors;
Economic consequences of ill-health;
Behavioral models of demanders, suppliers and other health care agencies;
Evaluation of policy interventions that yield economic insights;
Efficiency and distributional aspects of health policy;
and such other topics as the Editors may deem appropriate.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
