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Table 4 Transfer payment model

From: Managing the medical resources of a national insurance program: lessons based on China’s NCMS

 

(1)

Static panel model

(2)

Dynamic panel model (fixed effect)

(3)

Dynamic panel model (time fixed effect)

(4)

Dynamic spatial panel model (both)

Participation (log)

1.185***

0.416**

0.365***

0.226

(9.621)

(1.998)

(4.662)

(1.042)

Lagged one period of transfer

 

0.473***

0.753***

0.468***

 

(9.771)

(18.281)

(9.884)

Lagged one period of neighbor transfer

 

-0.299***

-0.084

-0.171

 

(-3.561)

(-0.952)

(-1.624)

Per capita GDP (log)

-2.888***

-1.396*

-0.793***

-1.705

(-6.261)

(-1.956)

(-3.015)

(-1.507)

Region

0.302

0.000

-0.069

0.000

(1.101)

(.)

(-0.573)

(.)

Cfinc

5.113***

2.519***

0.444

3.224*

(9.200)

(2.975)

(0.439)

(1.903)

Lagged one period of balance rate

-0.011**

-0.009*

0.006

-0.003

(-2.297)

(-1.860)

(1.119)

(-0.634)

Neighbor participation

-0.553***

0.036

-0.247*

-0.751**

(-3.314)

(0.152)

(-1.763)

(-2.193)

Spatial correlation

0.255***

0.345***

0.008

0.013

(3.806)

(4.952)

(0.091)

(0.146)

Log-likelihood

-518.408

-391.078

-460.144

-518.408

R2

0.791

0.849

0.838

0.792

AIC

20.000

18.000

20.000

18.000

BIC

57.301

50.713

56.348

50.713

Observations

308

280

280

280

  1. *, **, and *** indicate significance at the levels of 10%, 5%, and 1%, respectively. The region is a time-invariant variable