2017 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 3% lower, Asian faculty earn 28% and URM faculty earn 12% lower. Only 23% of salary variation is explained by this model. After all control factors are added, 88% 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% lower for faculty who are women, 6% lower for Asian, and 0.3% higher for URM faculty. In this model, Women faculty earn significantly less than their white male counterparts.

Progression Analysis

The progression data for all Law Ladder Rank Faculty, are plotted below.  Normative progression is defined in the Progression Matrix.

Progress by gender:

Progress by ethnicity:

Progress Rate Analysis

Using a simple t-test, the results indicate that there is no statistically significant difference in progression rate means by either gender or ethnicity when compared to white male faculty. Normative progression is defined in the Progression Matrix.

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