{"title":"高等教育对健康治疗效果的估计:多元递归probit模型与匹配的比较","authors":"E. Kossova, Mariia Kosorukova","doi":"10.22394/1993-7601-2023-69-65-90","DOIUrl":null,"url":null,"abstract":"The paper presents a comparative analysis of the multivariate recursive probit model and matching as the methods for estimating the treatment effect of higher education on binary indicators of individuals’ health. Statistical evidence has been obtained in favor of the presence of a negative treatment effect of higher education on the probability of a woman suffering from hypertension and obesity and a man assessing his health as very good, as well as a positive effect on the probability of a woman having eye diseases and allergy. It is concluded that it is necessary to estimate the treatment effect in applied research simultaneously by different methods to obtain robust estimates.","PeriodicalId":8045,"journal":{"name":"Applied Econometrics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of the treatment effect of higher education on health: Comparison of the multivariate recursive probit model and matching\",\"authors\":\"E. Kossova, Mariia Kosorukova\",\"doi\":\"10.22394/1993-7601-2023-69-65-90\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a comparative analysis of the multivariate recursive probit model and matching as the methods for estimating the treatment effect of higher education on binary indicators of individuals’ health. Statistical evidence has been obtained in favor of the presence of a negative treatment effect of higher education on the probability of a woman suffering from hypertension and obesity and a man assessing his health as very good, as well as a positive effect on the probability of a woman having eye diseases and allergy. It is concluded that it is necessary to estimate the treatment effect in applied research simultaneously by different methods to obtain robust estimates.\",\"PeriodicalId\":8045,\"journal\":{\"name\":\"Applied Econometrics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22394/1993-7601-2023-69-65-90\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22394/1993-7601-2023-69-65-90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Estimation of the treatment effect of higher education on health: Comparison of the multivariate recursive probit model and matching
The paper presents a comparative analysis of the multivariate recursive probit model and matching as the methods for estimating the treatment effect of higher education on binary indicators of individuals’ health. Statistical evidence has been obtained in favor of the presence of a negative treatment effect of higher education on the probability of a woman suffering from hypertension and obesity and a man assessing his health as very good, as well as a positive effect on the probability of a woman having eye diseases and allergy. It is concluded that it is necessary to estimate the treatment effect in applied research simultaneously by different methods to obtain robust estimates.
Applied EconometricsEconomics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
0
期刊介绍：
The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
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