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Table 2 Summary Statistics – Matched Sub-Samples

From: Health shock and preference instability: assessing health-state dependency of willingness-to-pay for corrective eyeglasses

 

[1]

[2]

[3]

[4]

[5]

With-Health Shock Group

[N = 558]

Without-Health-Shock Group: 1 to 1 Matching (Replaced)

[N = 558]

P Value

Without-Health-Shock Group: 1 to 1 Matching (Not Replaced)

[N = 558]

P Value

Female

52.3%

53.2%

0.765

61.8%

0.001 ***

Married

69.4%

63.6%

0.042 **

74.9%

0.039 **

Owns a TV

81.0%

82.8%

0.437

81.4%

0.878

Owns a mobile

96.2%

94.3%

0.122

95.3%

0.457

Respondent’s Contribution to Family Income

34.6%

35.2%

0.827

31.0%

0.160

Family Income (BDT)

21,281.7

19,948.7

0.283

17,808.9

0.003 ***

Land (Decimal)

63.73

44.59

0.081

20.73

0.000 ***

Age

38.6

40.9

0.023 **

38.7

0.928

Respondent’s Income (BDT)

6280.6

6604.0

0.626

5177.8

0.060 *

Family Size

 1–2

10.6%

10.9%

0.156

10.6%

0.982

 3–4

43.0%

37.5%

42.5%

 5+

46.4%

51.6%

46.9%

Occupations

 Wage Workers

2.9%

3.6%

0.998

3.2%

0.004 ***

 Self-employed

10.4%

10.6%

11.7%

 Garment Workers

3.4%

3.2%

3.1%

 Service

20.8%

20.8%

15.6%

 Homemakers

33.7%

32.6%

44.0%

 Others

28.8%

29.2%

22.4%

Education

 Never been to School

24.7%

32.2%

0.164

31.4%

0.000 ***

 Primary

17.6%

15.1%

20.6%

 Secondary

14.3%

15.4%

19.1%

 SSC/Dakhil/Equivalent

14.5%

14.2%

13.8%

 HSC/Fazil/Equivalent

12.2%

9.5%

8.4%

 Graduate

8.6%

7.0%

5.2%

 Post Graduate

4.3%

3.4%

1.3%

 Others

3.8%

3.2%

0.2%

  1. (a) P value for comparison between With-Health-Shock group and matched sub-samples of Without-Health-Shock group: generated using t-test of difference in means for continuous variables or Chi-square test of independence for categorical variables, (b) Asterisks indicate statistical significance (*** p < 0.01, ** p < 0.05, * p < 0.1), (a) US$ 1 is equivalent to BDT 84.397