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Table 2 Summary Statistics for Dependent and Independent Variables, pooling years 2004, 2006, 2009 and 2011

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

Variable

Description

Observations a

Mean

Standard Dev

Dependent variables

 Reimbursement dummy

1 if reimbursement is greater than zero; 0 otherwise

14469

0.149

0.356

 Reimbursement amount

The log of net reimbursement (2004 RMB)

14469

0.707

1.832

 Reimbursement rate

Ratio of NCMS reimbursement to total healthcare cost

6554

0.177

0.283

Independent variables at the household level

 Non-transfer income

Per-capita Non-government income (2004 RMB)

14148

7.142

1.130

 Transfer income

Per capita income from government transfers (non-NCMS) (2004 RMB)

14468

2.518

2.750

 Household size

Excludes long-term migrants

14469

5.063

1.954

 Debt dummy

1 if household carries debt at the end of the year, 0 if not

14517

0.577

0.494

 Farming type

1 if Head relies exclusively on farming, 2 if do not farm, 3 if rely partly on farming, 0 otherwise

14158

1.436

0.911

 Ethnicity

1 if Head ethnicity is Han,0 otherwise

14469

0.641

0.480

Independent variables at the individual level

 Self-reported Health Status

1 if great, 2 if good, 3 if poor, 4 if very poor

14469

2.343

1.319

 Member of NCMS

1 if yes, 0 if not

11089

0.86

0.35

 Sex

1 if male, 0 if female

14469

0.529

0.499

 Age

1 age < 10, 2 if 10 < =age < 40, 3 if age > =40

14469

2.139

0.681

 Education

Education type: 1 if primary or less; 2 if middle school; 3 if senior school or above

14469

1.337

0.579

 Marriage

1 if single, 2 if married,3 if divorced or other

14469

1.469

0.585

 Diagnostic place b

1 if village or town hospital; 2 if county or provincial hospital; 3 if others.

7017

2.172

0.857

 Treatment type b

1 if self-treatment; 2 if other informal,3 if saw formal doctor

7793

2.408

0.806

 Chronic disease c

1 if individual reports a chronic disease, 0 if not

14469

0.134

0.341

  1. Puding Panel dataset. a: Summing all 4 years of data b: Refers to most significant instance within survey year c: Includes Cardio-vascular diseases, Diabetes, High blood pressure, Arthritis, Hepatitis, Gastric ulcer, Deformity, Lumbar disk degeneration, or others as assessed by respondent