Arts & Sciences Tenure/Track Faculty Salary Analysis

Traditional methodology: model based on male population is applied to female population to predict female salaries
Variables include: discipline groups, years here, years since terminal degree, squared terms, rank dummy variables

Mean female residuals, standard errors and z-scores Comparison of analyses for 1986-87, 1997-98 and 1999-2000

1986-87
1997-98
1999-00
model sq
terms
rank log
scale
R2 standard
error
difference:
mean
female
residual
z-score R2 standard
error
difference:
mean
female
residual
z-score R2 standard
error
difference:
mean
female
residual
z-score
models with rank variable
1 y y y 0.74 2.36% -0.90% -0.38 0.61 2.23% -0.20% -0.09 0.58 2.41% 0.11% -0.05
2 y y n 0.63 995 -291 -0.29 0.51 1,826 -307 -0.17 0.47 2334 -608 -0.26
5 n y y 0.74 2.31% -1.12% -0.48 0.61 2.19% -0.18% -0.08 0.57 2.38% -0.09% 0.04
6 n y n 0.63 956 -345 -0.36 0.51 1780 -277 -0.16 0.45 2251 -372 -0.17
models without rank variable
3 y n y 0.62 2.71% -3.38% -1.25 0.47 2.69% -2.84% -1.06 0.45 2.93% -0.89% -0.30
4 y n n 0.53 1,164 -1313 -1.13 0.40 2,086 -1726 -0.82 0.38 2,673 -925 -0.35
7 n n y 0.58 2.92% -5.83% -2.00 0.43 2.82% -4.93% -1,75 0.38 3.11% -3.96% -1.27
8 n n n 0.52 1,193 -2095 -1.76 0.38 2,091 -2984 -1.43 0.32 2,671 -2957 -1.11

Note: All of the above models use the original discipline groups used in the initial Washington University study of 1986-87 data supervised by Mary Gray, Professor of Mathematics and Statistics at American University. The original selection of 11 aggregation groups appears to reflect a perception of national faculty characteristics in the 1980's.

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