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.Abstract
![Figure 1a](/view/journals/foen/27/2/inline-i0898-5510-27-2-127-f01.png)
Actual vs Predicted Male Real Earnings Profiles
![Figure 1b](/view/journals/foen/27/2/inline-i0898-5510-27-2-127-f02.png)
Actual vs Predicted Female Real Earnings Profiles
![Figure 2a](/view/journals/foen/27/2/inline-i0898-5510-27-2-127-f03.png)
Estimates of Real Earnings Growth: Males
![Figure 2b](/view/journals/foen/27/2/inline-i0898-5510-27-2-127-f04.png)
Estimates of Real Earnings Growth: Females
![Figure 3a](/view/journals/foen/27/2/inline-i0898-5510-27-2-127-f05.png)
Effect of Wage Growth Assumptions on EPV of Earnings Loss: Males
![Figure 3b](/view/journals/foen/27/2/inline-i0898-5510-27-2-127-f06.png)
Effect of Wage Growth Assumptions on EPV of Earnings Loss: Females