{"title":"分析社会人口变量对孟加拉国健康状况的影响","authors":"M. Howlader","doi":"10.2139/ssrn.2294871","DOIUrl":null,"url":null,"abstract":"This study scrutinizes socio-demographic variables impact upon health status. Ordinary Least squares (OLS), Probit and Tobit regression models have used for examining socio-demographic parameters shock. All of the three models are statistically significant. Tobit model produces better result than other two models. This analysis provides a valuable contribution in that individual data gives an insight on how to improve you overall health status. This study finds that age, degree of religion, income, education, employment status, marital status, health expenditure, provider health service quality, and working environment have a large effect on health status. Other variables such as gender, living quarter, and body mass index, and smoking status also significantly affect health status.","PeriodicalId":441838,"journal":{"name":"Geographic Health Economics eJournal","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Analyzing the Socio-Demographic Variables Impact on Health Status of Bangladesh\",\"authors\":\"M. Howlader\",\"doi\":\"10.2139/ssrn.2294871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study scrutinizes socio-demographic variables impact upon health status. Ordinary Least squares (OLS), Probit and Tobit regression models have used for examining socio-demographic parameters shock. All of the three models are statistically significant. Tobit model produces better result than other two models. This analysis provides a valuable contribution in that individual data gives an insight on how to improve you overall health status. This study finds that age, degree of religion, income, education, employment status, marital status, health expenditure, provider health service quality, and working environment have a large effect on health status. Other variables such as gender, living quarter, and body mass index, and smoking status also significantly affect health status.\",\"PeriodicalId\":441838,\"journal\":{\"name\":\"Geographic Health Economics eJournal\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geographic Health Economics eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2294871\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographic Health Economics eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2294871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Analyzing the Socio-Demographic Variables Impact on Health Status of Bangladesh
This study scrutinizes socio-demographic variables impact upon health status. Ordinary Least squares (OLS), Probit and Tobit regression models have used for examining socio-demographic parameters shock. All of the three models are statistically significant. Tobit model produces better result than other two models. This analysis provides a valuable contribution in that individual data gives an insight on how to improve you overall health status. This study finds that age, degree of religion, income, education, employment status, marital status, health expenditure, provider health service quality, and working environment have a large effect on health status. Other variables such as gender, living quarter, and body mass index, and smoking status also significantly affect health status.