Abstract
This study identifies specific demographic attributes that influence salary at institutions of higher education. Data were obtained for all business faculty at nine public universities. A log-linear model with salary as the regressand serves as the functional form of estimation. Variance inflation factors are employed to reduce any aberrations that are due to the presence of multicollinearity. Additional diagnostic tests to correct for autocorrelation and other distortions are also performed. The results suggest that experience, publication rates, and the tendency to remain at the same institution for extended periods affect salary levels in a significant manner. Possession of a tenninal degree also proved to have a positive and significant impact on salary levels. In addition, rank reported variant results, suggesting the presence of salary compression. An explanation of this phenomenon is offered. A comparison of mean salary levels across academic fields based on an analysis-of-variance design revealed significant differences among disciplines. The Tukey criterion is used to identify which fields of specialization exhibit significant differences.
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