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

BMC Public Health

Table 4 Robustness checks the impact of parental migration on LBC’s vision health

	IV-Probit	Migration probability at school level	Add county dummies	Random classes	Two periods data	Both parents migrated
	(1)	(2)	(3)	(4)	(5)	(6)
Panel A: Myopia
Any Parent Migrated (1 = yes; 0 = no)	−0.753***	− 0.286***	−0.593***	− 0.284***	− 0.677**
Any Parent Migrated (1 = yes; 0 = no)	(0.162)	(0.074)	(0.198)	(0.084)	(0.341)
Both Parents Migrated (1 = yes; 0 = no)						−0.387***
Both Parents Migrated (1 = yes; 0 = no)						(0.093)
N	10,361	10,361	10,361	8273	3417	10,361
Panel B: Owned Eyeglasses
Any Parent Migrated (1 = yes; 0 = no)	−1.131***	−0.430***	−0.460*	− 0.427***	− 1.42***
Any Parent Migrated (1 = yes; 0 = no)	(0.159)	(0.075)	(0.256)	(0.091)	(0.513)
Both Parents Migrated (1 = yes; 0 = no)						−0.586***
Both Parents Migrated (1 = yes; 0 = no)						(0.109)
N	5660	5660	5660	4500	1738	5660

Each coefficient represents a separate regression, and all regressions include child and family controls. The independent variables are the indicator of any parent migrated for Column (1)–(5) and the indicator of both parents migrated for Column (6). Standard errors, in parentheses, clustered at the school level
Abbreviations: IV instrumental variable
*** p < 0.01, ** p < 0.05, * p < 0.1

ISSN: 1471-2458