Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We allow for differential effects of physical appearance across the wage distribution using a technique traditionally used in the finance literature. We find an average beauty premium of 2%–4% for women, which is concentrated at the bottom of the wage distribution. The average beauty premium for men is larger at 5%–7% and is present throughout the wage distribution. Both of these vary by education level. We find that differences in characteristics (such as age, family composition, labor market attributes, etc.) between beautiful and plain people contribute to the beauty premium identified using traditional regression models. Isolating this characteristic effect from the unexplained effect using decomposition techniques leads to smaller beauty premia.