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Table 4 The difference in covariate variables for the URBMI insured residents and uninsured residents before and after the matching (%)

From: The effects of China’s urban basic medical insurance schemes on the equity of health service utilisation: evidence from Shaanxi Province

 

Before matching

After matching

 

Insured

Uninsured

Standardized bias (%)

p

Insured

Uninsured

Standardized bias (%)

p

Annual personal expenditure

8.72

8.65

12.0

0.010

8.71

8.72

-1.3

0.783

Female

58.2

56.6

3.2

0.480

58.5

58.5

0.0

1.000

45-59

23.3

21.8

3.6

0.432

23.5

23.0

1.2

0.809

60+

16.4

15.4

2.9

0.520

16.4

16.5

-0.4

0.945

Health status

4.39

4.39

-1.1

0.810

4.38

4.38

0.0

0.999

Married

63.2

61.5

3.4

0.453

63.5

61.5

4.0

0.430

Other marital status

11.0

10.4

1.9

0.681

10.8

11.6

-2.5

0.628

Primary school

8.2

9.4

-4.4

0.340

8.3

7.2

4.1

0.391

Junior middle school

27.9

31.7

-8.3

0.070

28.5

29.9

-3.1

0.538

Senior middle school

43.2

35.7

15.3

0.001

42.4

42.4

0.0

1.000

Diploma

8.7

7.3

5.1

0.257

8.5

9.0

-1.9

0.718

College degree or above

4.1

7.2

-13.5

0.004

4.2

3.6

2.3

0.599

Retired

7.6

7.8

-0.4

0.923

7.8

8.6

-2.9

0.577

Student

13.9

17.6

-10.1

0.029

14.2

14.6

-1.1

0.828

Unemployed

51.3

55.1

-7.5

0.102

52.1

51.4

1.6

0.760

Guanzhong

95.7

89.5

23.6

0.000

95.6

95.8

-1.0

0.801

Shannan

0.0

0.5

-9.9

0.049

0.0

0.0

0.0

1.000

Commercial health insurance

4.6

4.2

1.6

0.718

4.7

4.0

3.2

0.533

Household population

1.17

1.20

-7.8

0.086

1.18

1.19

-2.1

0.691