Skip to main content

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%