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Source: Journal of Legal Economics
Resulting in 2 citations.
1. Morris, Pamela D.
Club Participation: Effects on Future Household Earning Potential
Journal of Legal Economics 13,2 (Spring 2006): 45-78.
Also: http://findarticles.com/p/articles/mi_qa5408/is_200604/ai_n21392071/?tag=content;col1
Cohort(s): NLSY79
Publisher: American Academy of Economic and Financial Experts: AAEFA
Keyword(s): Earnings; Household Income; Household Models; Modeling

Permission to reprint the abstract has not been received from the publisher.

The article presents a study which hypothesizes that club participation increases future earnings. The study uses data from the National Longitudinal Survey of Youth in 1979 cohort and employs a regression model called Ordinary Least Squares to examine the validity of the hypothesized conceptual model. The study reveals that club participation correlates with higher earnings of American families which affect the decisions of policy makers and promotional tactics of educators.
Bibliography Citation
Morris, Pamela D. "Club Participation: Effects on Future Household Earning Potential." Journal of Legal Economics 13,2 (Spring 2006): 45-78.
2. Trevino, Gene A.
An Evaluation of Real Earnings Growth Based on U.S. Census P-60 Data
Journal of Legal Economics 10,1 (Spring 2000): 47-59.
Also: http://findarticles.com/p/articles/mi_qa5408/is_200004/ai_n21465489/?tag=content;col1
Cohort(s): NLSY79
Publisher: American Academy of Economic and Financial Experts: AAEFA
Keyword(s): Census of Population; Earnings; Injuries

Permission to reprint the abstract has not been received from the publisher.

Forensic economists are often retained in personal injury and wrongful death cases to value the earning capacity of young persons. This involves forecasting real earnings growth attributable to age and education. Generally, forensic economists rely on crosssectional data published by the U.S. Census Bureau for age-earnings data. Specifically, the P-60 series reports entitled "Money Income in the United States" are the generally accepted source of earnings by age and education (Rodgers, Brookshire, and Thorton 1996; Gohman, McCrickard, and Slesnick 1998). These cross-sectional data are used to forecast mean earnings by age and education over the plaintiffs expected work life. Because these cross-sectional data are based on earnings for different cohorts, based on age and education at a point in time, they may not provide an accurate forecast of actual earnings over time. The objective of this article is to examine the accuracy of forecasted real earnings growth based on U.S. Census Bureau crosssectional data relative to longitudinal data taken from the National Longitudinal Survey of Youth. Copyright American Academy of Economic and Financial Experts Spring 2000.
Bibliography Citation
Trevino, Gene A. "An Evaluation of Real Earnings Growth Based on U.S. Census P-60 Data." Journal of Legal Economics 10,1 (Spring 2000): 47-59.