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Table 1 Descriptive statistics of major variables

From: Evaluating the influence of financial investment in compulsory education on the health of Chinese adolescents: a novel approach

Variables

Meaning/value

Obs

Mean (%)

SD

Min

Max

Dependent variables

 Self-rated health

Five-category variable

6516

3.876

0.922

1

5

 Illness frequency

Three-category variable

6516

1.969

0.448

1

3

 Sick leave days

Continuous variable

6516

1.766

4.980

0

115

 Depression

Same as above

6516

21.73

7.995

10

50

Explanatory variables

 Financial investment

Add 1 to take logarithm

6516

6.649

1.248

0

8.380

Individual characteristics

 Age

Continuous variable

6516

13.90

0.859

12

17

 Gender

1, boy; 0, girl

6516

0.521

0.500

0

1

 Hukou

1,agriculture; 0,nonagriculture

6516

0.528

0.499

0

1

 Cognitive ability

Three-category variable

6516

2.046

0.810

1

3

 Love

1, yes; 0, no

6516

0.114

0.318

0

1

Family characteristics

 Parental marital status

1, married; 0, not married

6516

0.925

0.263

0

1

 Only child

1, yes; 0, no

6516

0.442

0.497

0

1

 Whether parents quarrel

Same as above

6516

0.098

0.298

0

1

 Mother's education

Years

6516

3.360

1.194

1

7

 Family economic status

Five-category variable

6516

2.937

0.599

1

5

Community characteristics

 Health environment

Four-category variable

6516

2.786

0.624

1

4

School characteristics

 School level

Five-category variable

6516

4.033

0.799

2

5

  1. Source: CEPS data for the 2014–2015 school year, the same hereinafter