2020 Pay Equity Study Results: Law

Ladder Rank Salary Data

The salary data for all Ladder Rank Faculty in the School of Law are plotted below.
As a function of rank, step, and gender:

 
As a function of rank, step, and ethnicity:

Multiple Linear Regression Analysis

Multiple regression analysis of salary vs rank/step. As indicated in Table 1, the simplest model with only demographic variables shows that relative to white male faculty, women earn salaries that are 13% lower, Asian faculty 13% and URM faculty 2% lower. Only 15% of salary variation is explained by this model. After all control factors are added, 49% of salary variation is explained by a model with demographic, experience, field, and rank variables.  After adjusting for covariates, relative to white male faculty, salaries are 9.8% lower for faculty who are women, 0.2% lower for Asian, and 0.5% higher for URM faculty.

Progression Analysis

The progression data for all Law Ladder Rank Faculty is not available. Progress and initial rank is not included in regression analyses due to different scales in Law than other Schools.

Progress Rate Analysis

The school of Law has a unique progression structure that doesn’t lend itself to analyses in the same way as the rest of campus. Future studies will work with key stakeholders in the School of Law to analyze progress in ways that best reflect what normal progress is. Normative progression is defined in the Progression Matrix.

Comments are closed.