Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This study examines the relationship between earnings and racial differences in a context in which various races have coexisted and mixed during several centuries, as is true in many parts of the postcolonial world and specifically urban Peru. Coarse indicators of racial differences do not suffice in capturing this relationship; therefore, we introduce a score-based procedure of white and indigenous racial intensities that allows us to approximate these mixed racial heritages. We introduce a score-based procedure of white and indigenous racial intensities that allows us to approximate the heterogeneity within the mestizo population. We construct two types of indicators of racial intensities using a score-based procedure: a single-dimensional indicator of degrees of whiteness and a two-dimensional indicator combining degrees of both whiteness and indigenousness. This second indicator allows us to study nonlinearities in earning differences across mixed white and indigenous racial characteristics. Our estimates from a semiparametric model show evidence of a race premium for whiteness on earnings, statistically significant among wage earners but not among the self-employed. These results may be consistent with a story of employer discrimination.