Education and Experience Categories Track Higher Occupational Pay

Across 825 detailed U.S. occupations, one coded category higher in BLS typical-entry education was associated with 22.59% higher occupational median pay in MyTopMatch's primary employment-weighted model. A one-category increase in related work experience was associated with 21.50% higher pay, and one category higher in typical on-the-job training was associated with 4.51% higher pay.

The model included all three preparation measures together with broad occupation-family fixed effects and explained 85.5% of weighted cross-occupation variation in log median wages. These figures compare occupations. They do not estimate what an individual would earn after completing a degree or accumulating more experience.

One category is not one year

BLS education, experience, and training measures are ordered occupational classifications. Their steps are not equal in time, cost, or selectivity. Moving from high school to some college differs from moving from a bachelor's to a master's degree; an apprenticeship differs from short-term on-the-job training.

The coefficients should therefore be read as conditional associations with a one-step change in the frozen coding scheme. They should not be multiplied by years or treated as universal credential premiums.

Education and experience carry the largest primary associations

The education and related-experience estimates were close in magnitude and remained positive in the primary specification. That does not make the constructs interchangeable. Education may represent technical knowledge, professional pathways, screening, or selection; experience may represent judgment, responsibility, scarcity, or advancement structures.

Job Zone changes the education estimate

Adding O*NET Job Zone reduced the estimated education-category association from 22.6% to 15.0%. Job Zone summarizes education, experience, and training and overlaps with the BLS inputs. The reduction shows that broader preparation measures share information, so the sensitivity estimate belongs beside the primary coefficient.

The training estimate is less stable

The on-the-job-training estimate ranged from about 1.8% to 9.7% across tested specifications. The direction was positive in the primary model, while the magnitude was materially sensitive to model design. MyTopMatch treats it as secondary evidence.

Why residual occupation rankings remain withheld

An occupation's residual is the difference between observed and model-predicted log pay. Large positive or negative residuals can identify cases for deeper research. They do not establish that an occupation is overpaid, underpaid, unfairly paid, or a good bargain. Residual rankings remain withheld until preparation coverage, licensing, working conditions, industry, geography, and validation are stronger.

Important limits

• The unit is an occupation, not an individual worker.
• The analysis is conditional and associational, not causal.
• Category steps are ordered labels rather than equal intervals.
• Pay also reflects hours, industry, geography, licensing, risk, unionization, responsibility, scarcity, and selection.
• The in-sample R-squared is not an individual wage-prediction accuracy measure.