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Table 6 Efficiency drivers: second-stage estimations (PISA 2009)

From: Measuring the efficiency of public schools in Uruguay: main drivers and policy implications

Explanatory variables

Conventional Tobita

Truncated + bootstrapb

Tobit + bootstrapa

OLS + bootstrap

Coef.

SE

t

Coef.

SE

z

Coef.

SE

z

Coef.

SE

z

PCTCORRECT

−0.20

0.05

−4.28***

−0.257

0.066

−3.91***

−0.196

0.053

−3.72***

−0.149

0.040

−3.70***

TESTc

−0.04

0.03

−1.42

−0.100

0.056

−1.79*

−0.039

0.032

−1.23

−0.040

0.023

−1.75*

HOMEWORKc

−0.07

0.03

−2.41**

−0.060

0.033

−1.82*

−0.069

0.034

−2.02***

−0.037

0.019

−1.95*

EXTREADING

0.01

0.19

0.05

−0.146

0.265

−0.55

0.010

0.220

0.05

−0.049

0.150

−0.33

TEACHVOCc

0.04

0.03

1.56

0.105

0.041

2.58***

0.043

0.032

1.34

0.042

0.024

1.76*

RURALc

0.01

0.03

0.27

0.057

0.056

1.02

0.009

0.037

0.25

0.004

0.027

0.14

CITYc

0.00

0.04

−0.05

−0.002

0.054

−0.04

−0.002

0.050

−0.04

−0.011

0.043

−0.25

TEACHSTU

0.00

0.00

−0.04

−0.004

0.009

−0.47

0.000

0.005

−0.03

0.000

0.004

0.04

Curr_authorc

0.06

0.03

1.76*

0.019

0.059

0.32

0.060

0.042

1.43

0.028

0.025

1.11

Disc_authorc

0.00

0.03

0.07

−0.020

0.046

−0.44

0.002

0.037

0.06

−0.004

0.029

−0.15

Asses_authorc

−0.04

0.02

−1.64*

−0.021

0.035

−0.61

−0.040

0.027

−1.47

−0.025

0.020

−1.21

Budget_authorc

−0.03

0.03

−1.25

−0.009

0.037

−0.23

−0.033

0.030

−1.08

−0.022

0.023

−0.93

Budget_ppalc

−0.01

0.03

−0.20

0.019

0.040

0.49

−0.005

0.029

−0.18

0.008

0.021

0.38

Constant

1.17

0.05

21.34***

1.242

0.074

16.86***

1.167

0.069

17.03***

1.173

0.049

24.11***

/sigma

0.100

0.010

 

0.086

0.012

 

0.100

0.010

 

0.085

  
  1. ‘Coef.’ is the estimated coefficient. SE is the robust standard error of the estimated coefficient. Number of schools = 98
  2. Source: authors’ estimations using PISA 2009 data
  3. p < 0.10
  4. ** p < 0.05
  5. *** p < 0.01
  6. aCensored regression model with 26 left-censored observations at value 1
  7. bTruncated regression model with 26 left-truncated observations at value 1
  8. cDummy variables. Reference categories for school dummies are: non-vocational technical school; school located in a town with more than 3000 and less than 100,000 inhabitants; students are assessed through test with monthly frequency or less; students are assessed through homework with frequency less than monthly; the national authorities do not have a considerable responsibility for determining the content of the courses or establishing student disciplinary policies or distributing the school budget or establishing the students assessment policies; the school principal does not have a considerable responsibility for distributing the school budget; the school board does not have a considerable responsibility for distributing the school budget