Abstract
The objective of this research is to analyze the effect of gender and ethnicity on the gender wage gap among farmworkers in the northwest region of Mexico, based on the 2020 census sample. By employing matching estimates and Inverse Probability Weighted Regression Adjustment (IPWRA) models, the effects on the mean and throughout the wage distribution of the sample are studied. It is observed that, in relation to gender and ethnicity, these are negative, especially when considered simultaneously, since among indigenous farmworkers, it is women who have the worst salaries. For women there are conditions of both a “sticky floor” and a “glass ceiling,” and for men only the second. The results indicate that part of this difference can be interpreted as a result of discrimination.
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