{"title":"评“不当解雇案件中的员工任期与经济损失”","authors":"Nicholas S. Coleman","doi":"10.5085/0898-5510-26.1.85","DOIUrl":null,"url":null,"abstract":"Abstract In the April 2013 issue of the Journal of Forensic Economics, Charles L. Baum II develops a model to estimate the annual probability of a worker remaining with a particular employer and applies his results to estimates of economic losses resulting from wrongful termination. Baum's adjustment for job survival is based only on forecast experience in the job held at the time of the termination. This method seems inconsistent with Baum's own findings that early years in any job are associated with much higher hazard rates. In this comment we apply Baum's survival coefficients in a model that incorporates the probability of termination and survival in both the original job and the replacement job.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Comment on “Employee Tenure and Economic Losses in Wrongful Termination Cases”\",\"authors\":\"Nicholas S. Coleman\",\"doi\":\"10.5085/0898-5510-26.1.85\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In the April 2013 issue of the Journal of Forensic Economics, Charles L. Baum II develops a model to estimate the annual probability of a worker remaining with a particular employer and applies his results to estimates of economic losses resulting from wrongful termination. Baum's adjustment for job survival is based only on forecast experience in the job held at the time of the termination. This method seems inconsistent with Baum's own findings that early years in any job are associated with much higher hazard rates. In this comment we apply Baum's survival coefficients in a model that incorporates the probability of termination and survival in both the original job and the replacement job.\",\"PeriodicalId\":265321,\"journal\":{\"name\":\"Journal of Forensic Economics\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Forensic Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5085/0898-5510-26.1.85\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forensic Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5085/0898-5510-26.1.85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
在2013年4月出版的《司法经济学杂志》(Journal of Forensic Economics)上,Charles L. Baum II开发了一个模型来估计工人留在特定雇主的年概率,并将其结果应用于对非法解雇造成的经济损失的估计。鲍姆对工作生存的调整仅基于终止时所从事工作的预测经验。这种方法似乎与鲍姆自己的发现不一致,即任何工作的早期都与更高的危险率有关。在这篇评论中,我们将Baum的生存系数应用到一个模型中,该模型结合了原始工作和替代工作的终止和生存概率。
A Comment on “Employee Tenure and Economic Losses in Wrongful Termination Cases”
Abstract In the April 2013 issue of the Journal of Forensic Economics, Charles L. Baum II develops a model to estimate the annual probability of a worker remaining with a particular employer and applies his results to estimates of economic losses resulting from wrongful termination. Baum's adjustment for job survival is based only on forecast experience in the job held at the time of the termination. This method seems inconsistent with Baum's own findings that early years in any job are associated with much higher hazard rates. In this comment we apply Baum's survival coefficients in a model that incorporates the probability of termination and survival in both the original job and the replacement job.