{"title":"希腊的医疗支出:EVIEWS中使用Bootstrap模拟的多元最小二乘回归和协整分析","authors":"Eleftherios Giovanis","doi":"10.2139/ssrn.1361572","DOIUrl":null,"url":null,"abstract":"This paper examines the factors that are contributing at the most explained and efficient way to health expenditures in Greece. Two methods are applied. Multiple regressions and vector error correction models are estimated, as also unit root tests applied to define in which order variables are stationary. Because the available data are yearly and capture a small period from 1985-2006, so the sample is small, a bootstrap simulation is applied, to improve the estimations.","PeriodicalId":441838,"journal":{"name":"Geographic Health Economics eJournal","volume":"335 6192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Health Expenditures in Greece: A Multiple Least Squares Regression and Cointegration Analysis Using Bootstrap Simulation in EVIEWS\",\"authors\":\"Eleftherios Giovanis\",\"doi\":\"10.2139/ssrn.1361572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the factors that are contributing at the most explained and efficient way to health expenditures in Greece. Two methods are applied. Multiple regressions and vector error correction models are estimated, as also unit root tests applied to define in which order variables are stationary. Because the available data are yearly and capture a small period from 1985-2006, so the sample is small, a bootstrap simulation is applied, to improve the estimations.\",\"PeriodicalId\":441838,\"journal\":{\"name\":\"Geographic Health Economics eJournal\",\"volume\":\"335 6192 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geographic Health Economics eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1361572\",\"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.1361572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Health Expenditures in Greece: A Multiple Least Squares Regression and Cointegration Analysis Using Bootstrap Simulation in EVIEWS
This paper examines the factors that are contributing at the most explained and efficient way to health expenditures in Greece. Two methods are applied. Multiple regressions and vector error correction models are estimated, as also unit root tests applied to define in which order variables are stationary. Because the available data are yearly and capture a small period from 1985-2006, so the sample is small, a bootstrap simulation is applied, to improve the estimations.