{"title":"Total Worklife Expectancy","authors":"K. Krueger, Frank L. Slesnick","doi":"10.5085/JFE.25.1.51","DOIUrl":null,"url":null,"abstract":"This paper appends the standard Markov increment-decrement worklife expectancy model used in forensic economics to measure the years that people perform the non-market work of taking care of their homes or families. We find that adding non-market working years to the worklife model nearly equalizes men and women's estimated lifetime total working years. The paper begins with the gender-related problems of solely using labor force worklife tables as a tort compensation determinant. We then present demographic characteristics of persons that perform full-time, non-market work. A Markov life table model that incorporates two work activities (market and non-market work) is specified—we name the sum of market and non-market working years “total worklife expectancy.” Ending the paper are examples of using total worklife expectancy as a tort compensation estimator.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forensic Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5085/JFE.25.1.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper appends the standard Markov increment-decrement worklife expectancy model used in forensic economics to measure the years that people perform the non-market work of taking care of their homes or families. We find that adding non-market working years to the worklife model nearly equalizes men and women's estimated lifetime total working years. The paper begins with the gender-related problems of solely using labor force worklife tables as a tort compensation determinant. We then present demographic characteristics of persons that perform full-time, non-market work. A Markov life table model that incorporates two work activities (market and non-market work) is specified—we name the sum of market and non-market working years “total worklife expectancy.” Ending the paper are examples of using total worklife expectancy as a tort compensation estimator.