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Table 6 Empirical results of panel threshold regression

From: Inter-provincial inequality of public health services in China: the perspective of local officials’ behavior

  

Coefficient

Std. Err.

T

p > |t|

Model 1

Dependent variable: equalization1

 Core independent variable

  transfer×I(self < 29.236)

−0.590*

0.237

−2.486

0.013

  transfer×I(29.236 ≤ self < 43.765)

0.253*

0.124

2.049

0.041

  transfer×I(43.765 ≤ self < 63.248)

−0.111

0.137

−0.808

0.419

  transfer×I(self ≥ 63.248)

−0.649**

0.240

−2.707

0.007

 Control variables

  gdpg

−0.323

0.182

−1.779

0.076

  education

0.357**

0.019

18.434

0.000

  dependency

0.259*

0.123

2.113

0.035

  urbanization

−0.855**

0.150

−5.719

0.000

  population

−0.814**

0.316

−2.573

0.010

Model 2

Dependent variable: equalization2

 Core independent variable

  transfer×I(self < 28.575)

−1.418**

0.312

−4.545

0.000

  transfer×I(28.575 ≤ self < 45.746)

0.310*

0.133

2.328

0.020

  transfer×I(45.746 ≤ self < 79.759)

−0.073

0.185

−0.396

0.693

  transfer×I(self ≥ 79.759)

−1.505**

0.369

−4.085

0.000

 Control variables

  gdpg

−0.018

0.205

−0.087

0.931

  education

0.334**

0.021

15.773

0.000

  dependency

0.220

0.137

1.603

0.110

  urbanization

−0.771**

0.168

−4.594

0.000

  population

−1.316**

0.343

−3.830

0.000

  1. Note: “**” and “*” indicate significance levels of 1 and 5%, respectively