Type Of Work
- Scholarly edition
This paper develops and estimates a cross-sectional model for forecasting research
output across the Australian university system. It builds upon an existing literature that focuses
either on institutional comparisons or studies of specific subjects, by providing discipline-specific
results across all of the ten major disciplinary areas as defined by Australia’s Department of
Education, Science and Training (DEST). The model draws upon four discipline-specific
explanatory variables; staff size, research expenditure, PhD completions, and student-staff ratios
to predict output of refereed articles. When compared with actual averaged output for 2000-2004,
the results are highly statistically significant.
This paper develops and estimates a cross-sectional model for forecasting research
output across the Australian university system. It builds upon an existing literature that focuses
either on institutional comparisons or studies of specific subjects, by providing discipline-specific
results across all of the ten major disciplinary areas as defined by Australia’s Department of
Education, Science and Training (DEST). The model draws upon four discipline-specific
explanatory variables; staff size, research expenditure, PhD completions, and student-staff ratios
to predict output of refereed articles. When compared with actual averaged output for 2000-2004,
the results are highly statistically significant.