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Table 1 Summary statistics of background characteristics

From: The impact of parental migration on left-behind children’s vision health in rural China

Variables, mean (SD)

Full Sample

(1)

Left-behind

(2)

Non-Left-behind

(3)

Difference:

(3)–(2)

P-Value (4)

Panel A: Outcome variables

 Myopia (1 = yes; 0 = no)

0.546 (0.498)

0.512 (0.500)

0.558 (0.497)

0.046***

 Owned eyeglasses (1 = yes; 0 = no) a

0.407 (0.491)

0.366 (0.482)

0.420 (0.494)

0.054***

Panel B: Child Characteristics

 Age (years)

14.228 (1.317)

14.238 (1.377)

14.225 (1.295)

−0.013

 Boys (1 = yes; 0 = no)

0.521 (0.500)

0.540 (0.498)

0.514 (0.500)

− 0.026**

 9th grade (1 = yes; 0 = no)

0.484 (0.500)

0.467 (0.499)

0.490 (0.500)

0.024**

 Number of siblings

0.965 (0.803)

1.075 (0.834)

0.925 (0.788)

−0.150***

 School boarding (1 = yes; 0 = no)

0.474 (0.499)

0.588 (0.492)

0.432 (0.495)

−0.156***

 Academic score (standardized)

−0.003 (0.995)

−0.039 (1.002)

0.010 (0.992)

0.049**

Panel C: Family Characteristics

 Father’s educational attainment (years)

8.995 (2.271)

8.743 (2.235)

9.085 (2.277)

0.342***

 Mother’s educational attainment (years)

8.152 (2.801)

7.737 (2.960)

8.302 (2.726)

0.565***

Family economic condition:

 Poor

0.272 (0.445)

0.342 (0.474)

0.247 (0.431)

−0.095***

 Average

0.686 (0.464)

0.629 (0.483)

0.706 (0.456)

0.077***

 Rich

0.042 (0.201)

0.029 (0.169)

0.047 (0.211)

0.018***

Living area:

 Eastern China

0.499 (0.500)

0.299 (0.458)

0.571 (0.495)

0.272***

 Central China

0.285 (0.452)

0.410 (0.492)

0.241 (0.428)

−0.169***

 Western China

0.216 (0.411)

0.291 (0.454)

0.188 (0.391)

−0.103***

 N

10,361

2751

7610

 
  1. a5660 myopic students answered whether they owned eyeglasses, including 1410 LBC and 4250 non-LBC. Column (4) shows the t-test of the difference between LBC and non-LBC
  2. ** p < 0.05, *** p < 0.01