{"title":"2012- 2017年劳动力活动的马尔可夫模型:集中趋势、形状、百分位数和自举标准误差的扩展表","authors":"Gary R. Skoog, James E Ciecka, K. Krueger","doi":"10.5085/JFE-457","DOIUrl":null,"url":null,"abstract":"\n This paper updates the Skoog-Ciecka-Krueger (2011) study which used 2005-09 U.S. population labor force data to estimate worklife expectancies. This update presents estimates using 2012-17 labor force data for persons ages 18 and over by sex and education. These updated estimates are presented as before as a set of worklife tables, including extended probability calculations and other statistical measures useful to forensic economists. Transition probabilities, by age, gender, and education, are contained in the electronic supplementary materials.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"138 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Markov Model of Labor Force Activity 2012-17: Extended Tables of Central Tendency, Shape, Percentile Points, and Bootstrap Standard Errors\",\"authors\":\"Gary R. Skoog, James E Ciecka, K. Krueger\",\"doi\":\"10.5085/JFE-457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This paper updates the Skoog-Ciecka-Krueger (2011) study which used 2005-09 U.S. population labor force data to estimate worklife expectancies. This update presents estimates using 2012-17 labor force data for persons ages 18 and over by sex and education. These updated estimates are presented as before as a set of worklife tables, including extended probability calculations and other statistical measures useful to forensic economists. Transition probabilities, by age, gender, and education, are contained in the electronic supplementary materials.\",\"PeriodicalId\":265321,\"journal\":{\"name\":\"Journal of Forensic Economics\",\"volume\":\"138 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-14\",\"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/JFE-457\",\"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/JFE-457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Markov Model of Labor Force Activity 2012-17: Extended Tables of Central Tendency, Shape, Percentile Points, and Bootstrap Standard Errors
This paper updates the Skoog-Ciecka-Krueger (2011) study which used 2005-09 U.S. population labor force data to estimate worklife expectancies. This update presents estimates using 2012-17 labor force data for persons ages 18 and over by sex and education. These updated estimates are presented as before as a set of worklife tables, including extended probability calculations and other statistical measures useful to forensic economists. Transition probabilities, by age, gender, and education, are contained in the electronic supplementary materials.
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