{"title":"Staggered Wage Net Discount Rates: Comment","authors":"K. Krueger","doi":"10.5085/JFE-456","DOIUrl":"https://doi.org/10.5085/JFE-456","url":null,"abstract":"\u0000 Bauman and Schap have a history of studying the statistical properties of net discount rates. In this Journal, Baumann and Schap (2018) recently examined wage net discount rates (WNDRs) constructed from January 1980 to May 2016. This comment is intended to open discussion as to why there is a disconnect between WNDR science such as Bauman and Schap and many of the WNDRs that appear in the practice of forensic economics.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121384382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"NAFE Members Directory","authors":"","doi":"10.5085/0898-5510-27.1.97","DOIUrl":"https://doi.org/10.5085/0898-5510-27.1.97","url":null,"abstract":"","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128194349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Reply to “Staggered Wage Net Discount Rates: Comment”","authors":"R. Baumann, D. Schap","doi":"10.5085/JFE-459","DOIUrl":"https://doi.org/10.5085/JFE-459","url":null,"abstract":"\u0000 In the comment by Krueger (2018), several guidelines are drawn from the Baumann and Schap (2018) analysis of wage net discount rates (WNDRs). This reply provides clarification on some of the guidelines.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"194 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Importance of Wage Growth Assumptions in Calculating Economic Damages","authors":"William E. Even, D. Macpherson","doi":"10.5085/JFE-446","DOIUrl":"https://doi.org/10.5085/JFE-446","url":null,"abstract":"\u0000 This study examines the importance of incorporating age-earnings profiles into the estimation of future earnings. Using data from the 2000 Census of the Population and the 2001-2015 American Community Surveys, we estimate age-earnings profiles for seven different education groups after controlling for period and cohort effects. We compare estimates of the loss in future earnings using the age-earnings profiles versus two popular alternatives: assuming a constant rate of earnings growth across the life-cycle or using cross-sectional data for age groups to estimate wage growth for various age ranges. Our results imply that a failure to incorporate the age-earnings profile into estimates of earnings losses can lead to significant over- or under-statement of losses depending on the age at which the damages begin and the educational attainment of the injured party.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129031924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Consumer Expenditures and Savings in High Income Households","authors":"F. B. Cook, J. Oryema, C. Stephens","doi":"10.5085/JFE-427","DOIUrl":"https://doi.org/10.5085/JFE-427","url":null,"abstract":"\u0000 A review of the existing academic literature as well as available government publications reveals a lack of information regarding expenditure behavior of high income households. In this paper, we combine multiple years of Consumer Expenditure Survey Public Use Microdata provided by the Bureau of Labor Statistics (BLS) and compute average expenditures and standard errors. We apply the same methodology used by the BLS to estimate the average expenditures by household income and household size for households with income of $70,000 and higher. The resultant tables provide details on consumption and saving patterns for higher income groups that are unavailable in the tables published by the BLS. Our tables can be utilized by forensic economists in practice for the determination of consumption and savings values in wrongful death matters in high income households.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130676998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Worklife by Occupation Physical Requirements: A Three-State Model","authors":"D. Rosenbaum, Mathew J. Cushing, Daniel Baquet","doi":"10.5085/JFE-436","DOIUrl":"https://doi.org/10.5085/JFE-436","url":null,"abstract":"\u0000 Do workers in more physically demanding jobs have different worklives than those in more sedentary occupations? To answer this question, we link individual data from the Current Population Survey with occupation characteristics from the Occupational Information Network to categorize individuals into three mutually exclusive initial labor market states: inactive, or active in either a more or less physically demanding occupation. A three-state Markov model estimates worklives given transitions across states over time. There is not a significant difference in worklives between the two occupation groups, even when controlling for sex, age and education. Men and women initially in more physically demanding occupations can be expected to work just as long as their counterparts initially in less physically demanding occupations.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114439888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessing Economic Damages in Personal Injury and Wrongful Death Litigation: The State of South Carolina","authors":"N. Volkov","doi":"10.5085/JFE-449","DOIUrl":"https://doi.org/10.5085/JFE-449","url":null,"abstract":"\u0000 This article presents a framework for computing damages in South Carolina personal injury and wrongful death cases including those that are caused by medical malpractice. The analysis is based on statute, common law, case law, and practice. Elements unique to personal injury and wrongful death cases are discussed, as well as elements common to both. The role and requirements for damage experts are also presented.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122014785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forensic Economics: Assessing Personal Damages in Civil Litigation","authors":"M. Vernarelli","doi":"10.5085/433.1","DOIUrl":"https://doi.org/10.5085/433.1","url":null,"abstract":"","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126987699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Staggered Wage Net Discount Rates:Accounting for Possibly “Sticky” Wages","authors":"R. Baumann, D. Schap","doi":"10.5085/JFE-428.1","DOIUrl":"https://doi.org/10.5085/JFE-428.1","url":null,"abstract":"Abstract Schap, Baumann and Guest (Journal of Forensic Economics December 2014) report the time-series properties of wage net discount rates for the period 1981.01-2012.12, formulated on the basis of contemporaneously observed wage growth rates and various discount rates (determined by yields on U.S. Treasury notes of differing maturities). Gerald D. Martin (Determining Economic Damages, various editions) has noted the relatively rapid response of interest rates to economic stimuli compared with that of wages, which, being somewhat institutionally driven, respond with a lag. Of course, Martin was not the first to observe or mention these phenomena, but he does relate the phenomena specifically to the suitability of forensic economic application of wage net discount rates as typically derived (i.e., using contemporaneously observed wage growth rates and discount rates). The present study takes account of wage growth rates influenced by possible institutional factors by lagging the time frame of their obser...","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2017 Survey of NAFE Members: Their Methods, Estimates, and Perspectives","authors":"D. Rosenbaum, D. Schap, Michael R. Luthy","doi":"10.5085/438.1","DOIUrl":"https://doi.org/10.5085/438.1","url":null,"abstract":"Abstract In January 2017, 565 e-mail invitations to complete an electronic survey were sent to NAFE (National Association of Forensic Economics) members, with libraries and attorneys excluded. The return rate was 33.1%. The survey covered many of the major topics included in earlier surveys, such as values of important economic variables (e.g., discount rates), trends in the practice of forensic economics (e.g., personal sources of earnings), and open-ended questions concerning ethics and reactions to the survey instrument. The survey also included several new or reworded questions, including a series of questions regarding members' education and level of professional activity designed to enhance their knowledge related to forensic practice.","PeriodicalId":265321,"journal":{"name":"Journal of Forensic Economics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116892983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}