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Table 3 Estimation results by OLS

From: Efficient scale of prefectural government in China

 

Coefficient

t value

Robust t value

Constant

19860.4

23.842

10.526

\( \frac{NTowns}{Pop} \)

1002.82

7.980

4.573

\( \frac{1}{Pop} \)

115.802

0.090

0.005

\( \frac{UPo{p}^2}{Pop} \)

−1621.85

−13.424

−6.543

\( \frac{UPo{p}^3}{Pop} \)

56.5807

10.917

5.849

\( \frac{UPo{p}^4}{Pop} \)

−0.57576

−9.4678

−5.485

\( \frac{RPop}{Pop} \)

−19200.8

−18.218

−8.712

\( \frac{RPo{p}^2}{Pop} \)

0.095896

0.006

0.003

\( \frac{RPo{p}^3}{Pop} \)

0.084069

0.387

0.273

\( \frac{RPo{p}^4}{Pop} \)

−0.00066

−0.710

−0.637

\( \frac{Area}{Pop} \)

0.178648

1.580

0.051

\( \frac{Are{a}^2}{Pop} \)

−2.5E−06

−0.777

−0.021

\( \frac{Are{a}^3}{Pop} \)

2.58E−11

0.810

0.021

\( \frac{Are{a}^4}{Pop} \)

−8.9E−17

−0.960

−0.024

Adj R 2

 

0.4987

 

LM-hetero

 

85.507

 

RESET

 

52.927

 

Jarque–Bera

 

75719.2

 
  1. Adj R 2, LM-hetero, RESET, and Jarque–Bera are adjusted R 2, test for heteroskedasticity, RESET test with squared fitted values, and Jarque–Bera test for normality. Italicized values mean statistically significant at the 5 % level