{"title":"体质指数对成长、上学、生产力和储蓄的影响:一项跨国研究","authors":"A. Tansel, Ceyhan Öztürk, Erkan Erdil","doi":"10.2139/ssrn.3923614","DOIUrl":null,"url":null,"abstract":"We examine the relationship between wealth and health through prominent growth indicators and cognitive ability. Cognitive ability is represented by nutritional status. The proxy variable for nutritional status is BMI. We use the reduced form equation in the cubic specification of time preference rate, strongly related to cognitive ability, to estimate this relationship. The growth indicators utilized are GDP per capita, schooling, overall and manufacturing productivities, and savings. We estimate our models using the FE, GMM estimators, and long difference OLS and IV estimation through balanced panel data for the 1980-2009 period. We conclude that the relationship between all prominent growth indicators and BMI is inverse U-shaped. In other words, cognitive ability has a significant potential to progress growth and economic development only in a healthy status.","PeriodicalId":330048,"journal":{"name":"Macroeconomics: Aggregative Models eJournal","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Body Mass Index on Growth, Schooling, Productivity, and Savings: A Cross-Country Study\",\"authors\":\"A. Tansel, Ceyhan Öztürk, Erkan Erdil\",\"doi\":\"10.2139/ssrn.3923614\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We examine the relationship between wealth and health through prominent growth indicators and cognitive ability. Cognitive ability is represented by nutritional status. The proxy variable for nutritional status is BMI. We use the reduced form equation in the cubic specification of time preference rate, strongly related to cognitive ability, to estimate this relationship. The growth indicators utilized are GDP per capita, schooling, overall and manufacturing productivities, and savings. We estimate our models using the FE, GMM estimators, and long difference OLS and IV estimation through balanced panel data for the 1980-2009 period. We conclude that the relationship between all prominent growth indicators and BMI is inverse U-shaped. In other words, cognitive ability has a significant potential to progress growth and economic development only in a healthy status.\",\"PeriodicalId\":330048,\"journal\":{\"name\":\"Macroeconomics: Aggregative Models eJournal\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Macroeconomics: Aggregative Models eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3923614\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macroeconomics: Aggregative Models eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3923614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Impact of Body Mass Index on Growth, Schooling, Productivity, and Savings: A Cross-Country Study
We examine the relationship between wealth and health through prominent growth indicators and cognitive ability. Cognitive ability is represented by nutritional status. The proxy variable for nutritional status is BMI. We use the reduced form equation in the cubic specification of time preference rate, strongly related to cognitive ability, to estimate this relationship. The growth indicators utilized are GDP per capita, schooling, overall and manufacturing productivities, and savings. We estimate our models using the FE, GMM estimators, and long difference OLS and IV estimation through balanced panel data for the 1980-2009 period. We conclude that the relationship between all prominent growth indicators and BMI is inverse U-shaped. In other words, cognitive ability has a significant potential to progress growth and economic development only in a healthy status.
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