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Table 5 Significant contextual factors: Tobit regression models

From: Measuring the efficiency of Palestinian public hospitals during 2010–2015: an application of a two-stage DEA method

Predictors

model (1)

model (2)

model (3)

model (4)

model (5)

model (6)

BOR

−0.0171***

−0.0172***

−0.0170***

−0.0142***

−0.0149***

−0.0129***

 

(0.00209)

(0.00203)

(0.00213)

(0.00221)

(0.00160)

(0.00229)

OPIPR

−0.218***

−0.211***

−0.219***

−0.207***

−0.204***

−0.197***

 

(0.0588)

(0.0690)

(0.0426)

(0.0380)

(0.0485)

(0.0387)

ALOS

0.00596

0.00753

0.00553

−0.0302

−0.0391

−0.0626

 

(0.0726)

(0.0663)

(0.0661)

(0.0469)

(0.0797)

(0.0808)

LOC

− 0.0543*

− 0.0526

− 0.0516

− 0.0345

− 0.0239

− 0.0117

 

(0.0304)

(0.0365)

(0.0414)

(0.0387)

(0.0389)

(0.0381)

SIZE

0.0440

0.0413

0.0422

0.0467

0.0760*

0.0745*

 

(0.0435)

(0.0375)

(0.0358)

(0.0408)

(0.0442)

(0.0389)

ADHR

 

−0.0432

    
  

(0.284)

    

PEFP

  

0.000385

   
   

(0.00280)

   

PPHB

   

0.00267**

 

0.00212

    

(0.00134)

 

(0.00163)

PRC

    

0.0633***

0.0561***

     

(0.0193)

(0.0216)

Constant

2.009***

2.019***

1.997***

1.558***

1.644***

1.327***

 

(0.177)

(0.161)

(0.183)

(0.276)

(0.206)

(0.297)

Observations

66

66

66

66

66

66

Sigma

0.107

0.107

0.107

0.103

0.1

0.075

Wald X2

220.01

286.32

293.53

648.35

470.95

750.17

Prob. > X2

<  0.001

<  0.001

<  0.001

<  0.001

<  0.001

<  0.001

Pseudo R2

2.682

2.683

2.683

2.77

2.83

4.12

Log likelihood

38.14

38.15

38.15

40.15

41.45

55.47

  1. Standard errors in parentheses
  2. *** p < 0.01, ** p < 0.05, * p < 0.1