Age-Earnings Profile

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Age-Earnings Profile

A chart showing the average or median income for workers over time. In general, earnings rise as workers become older, though this is not always the case. One may make age-earnings profiles for all workers, or one may customize them for workers in different industries or of different demographics.
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where a is the percentage change in the age earnings profile in year t from year t-1 and s is the percentage change or percentage shift, in level or shape, of the age earnings profile in year t from year t-1.
It is assumed that the combination of these effects results in a concave age earnings profile and, empirically, there is substantial evidence supporting the concavity of age-earnings profiles (Gilbert, 1994).
Now consider the error in the estimation of the present value of future losses due to the use of the hypothetical net discount rate, which implicitly assumes a linear age earnings profile.
This suggest that the accumulation of skills continues till age 25 and only after age 25 they receive substantial returns of education and other skills which increases the slope of the age earnings profile.
The age earnings profiles are estimated by using age spline earnings functions.
The age earnings profiles based on the estimates of earnings functions indicate that earnings are increasing functions of education and one of the main causes of inequality in the personal earnings.
It is interesting to note that although there are significant differences in compensation for workers across the employer size, yet the age earnings profiles follow the life-cycle pattern in both categories where income increases with age for some time, reaches at the peak and then declines.
Estimating the earnings equation by gender will allow for gender differences in age earnings profiles.
To get an indication of how much the age earnings profiles changed between 1979 and 1989, we predict earnings for each education, year and sex group for each year of age from age 20 to age 70.
A simple comparison of how the age earnings profiles have changed can be seen by examining the sum of earnings from age 20 to age 70.
The forensic economist needs to be careful about using age earnings profiles for women, since for younger women, earnings are quite similar to those of men, and are likely to remain close to the level of male earnings over time.
Moreover, the age earnings profiles for different education groups follow the usual concave shape, showing a decline in earnings after the prime earnings age.