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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