{"title":"通过离散时间多层风险模型比较职业培训课程","authors":"O. Paccagnella","doi":"10.1191/1471082X06st115oa","DOIUrl":null,"url":null,"abstract":"In this article, the author provides an econometric approach for comparing vocational training courses, and aims to study how courses affect individual behaviour. Given the hierarchical nature of the data and the purposes of the analysis, he proposes the application of a discrete-time multilevel hazard model. The variable of interest is the duration (in months) of the first job-search after the end of the course. The author focusses on contextual and correlated (course) effects and comments on the results also in terms of school effectiveness. The approach may be easily applied to several other clustered structures.","PeriodicalId":354759,"journal":{"name":"Statistical Modeling","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Comparing vocational training courses through a discrete-time multilevel hazard model\",\"authors\":\"O. Paccagnella\",\"doi\":\"10.1191/1471082X06st115oa\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the author provides an econometric approach for comparing vocational training courses, and aims to study how courses affect individual behaviour. Given the hierarchical nature of the data and the purposes of the analysis, he proposes the application of a discrete-time multilevel hazard model. The variable of interest is the duration (in months) of the first job-search after the end of the course. The author focusses on contextual and correlated (course) effects and comments on the results also in terms of school effectiveness. The approach may be easily applied to several other clustered structures.\",\"PeriodicalId\":354759,\"journal\":{\"name\":\"Statistical Modeling\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1191/1471082X06st115oa\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1191/1471082X06st115oa","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing vocational training courses through a discrete-time multilevel hazard model
In this article, the author provides an econometric approach for comparing vocational training courses, and aims to study how courses affect individual behaviour. Given the hierarchical nature of the data and the purposes of the analysis, he proposes the application of a discrete-time multilevel hazard model. The variable of interest is the duration (in months) of the first job-search after the end of the course. The author focusses on contextual and correlated (course) effects and comments on the results also in terms of school effectiveness. The approach may be easily applied to several other clustered structures.