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Table 3 Results: FE estimates

From: Efficiency in public higher education on Argentina 2004–2013: institutional decisions and university-specific effects

Variable Model 1 Model 2 Model 3 Model 4 Model 5
Constant 0.74941*** 0.51071*** 1.037*** 1.1518*** 0.82781
High-ranked/low-ranked professors 0.00064* 0.00046* 0.00048* 0.00058** 0.00067*
Full-time/part-time positions 0.05429*** 0.06633*** 0.06912*** 0.06870*** 0.06844***
Science Budget   − 0.01524 − 0.0135 − 0.01303 − 0.01423
Research Incentives Budget    − 0.04326 − 0.04335 − 0.05445
Infrastructure Budget     − 0.01826 − 0.01705
Operation Expenses      − 0.05721
Administrative Staff      0.05626
Year dummies Yes Yes Yes Yes Yes
R2-within 0.1847 0.2150 0.2220 0.2300 0.2501
\(\rho\) 0.8207 0.8235 0.8291 0.8325 0.8483
Sample size 300 290 289 289 289
  1. Dependent variable is \(h_{jt}^{*}\) for all the models
  2. Alternative specifications based on Random Effects (RE) were estimated as well, but the Hausman rejected the RE option under all the specifications considered
  3. * Stands for statistically significant at 10%
  4. ** Statistically significant at 5%
  5. *** Statistically significant at 1%