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Table 3 Income and the probability of getting reimbursement

From: Making health insurance pro-poor: evidence from a household panel in rural China

Dependent Variable: Reimbursement Dummy (1 = yes, 0 = no)

Probit models

P1

P2

P3

P4

 

Three waves with NCMS

Pre-reform

Post-Reform

Three waves, with interaction terms

Years

2006, 2009, 2011

2006

2009, 2011

2006, 2009, 2011

Non-transfer income (ln)a

0.031e

0.150c

0.018

0.144c

 

−1.831

−3.364

−1.009

−3.556

(Reform dummy) x (Non-transfer income) interaction terma

   

−0.135c

    

(−3.091)

Transfer incomea

0.021d

0.077c

0.015

0.021d

 

−2.344

−2.894

−1.483

−2.312

2009 dummy

1.153c

 

.

2.096c

 

−18.436

 

.

−6.699

2011 dummy

0.832c

 

−0.285c

1.777c

 

−11.879

 

(−6.115)

−5.641

NCMS member dummy

0.794c

1.937c

0.470c

0.800c

 

−8.033

−4.988

−3.725

−8.051

SRHS = 2 dummy

0.012

0.006

0.01

0.015

 

−0.237

−0.044

−0.18

−0.311

SRHS = 3 dummy

0.240c

0.389c

0.213c

0.244c

 

−4.51

−2.827

−3.659

−4.583

SRHS = 4 dummy

0.348c

0.126

0.929c

0.281c

 

−4.082

−1.033

−2.957

−3.2

N

5461

1720

3741

5461

Chi-squared b

1187.029

228.64

434.017

1196.728

P-stat b

0.000

0.000

0.000

0.000

  1. Puding panel data excluding 2004 (pre-NCMS). Sample restricted to those who sought treatment. All specifications include controls for sex, age, education, marital status, minority status, farmer status, household size, village, place of diagnostic and type of treatment used this year. SRHS = self-reported health status, see Table 2. a: Transfer refers to income received under any local or national governmental programs other than NCMS. b: Overall model fit statistics. c, d, e: Significantly different from zero at the 0.01, 0.05 and 0.1 level, respectively