An age-earnings profile shows how average earnings usually change as workers age. In many labor markets, earnings rise early in the career, grow more slowly in mid-career, and then flatten or fall later as hours, promotion opportunities, or labor-force attachment change.
Why The Profile Is Usually Hump-Shaped
Several mechanisms produce the familiar shape:
- workers accumulate human capital through schooling, training, and experience
- job matching improves as workers move toward better roles
- promotions and firm-specific knowledge raise pay in mid-career
- hours worked, health, and labor-force attachment may decline later in life
The resulting profile is about averages. Individual paths can differ a lot.
A Standard Empirical Model
A classic earnings equation is the Mincer specification:
[ \ln(w_i) = \beta_0 + \beta_1 S_i + \beta_2 X_i + \beta_3 X_i^2 + \varepsilon_i ]
Here S_i is schooling and X_i is labor-market experience. If \beta_2 is positive and \beta_3 is negative, earnings rise with experience at first and then eventually flatten or decline.
Why Measurement Requires Care
A cross-sectional age-earnings profile mixes together:
- true life-cycle effects
- cohort differences across generations
- selection effects if lower earners leave the workforce earlier
That means the observed profile is informative, but not always a clean causal picture of what one worker’s earnings would do over time.
Why The Concept Matters
Economists use age-earnings profiles to study:
- returns to education and training
- pension design and retirement timing
- gender and skill-group inequality over the life cycle
- tax policy, since earnings and taxable income vary systematically with age