Does the school cutoff date cause the disadvantage for children born in July and August?

The Journal of Chinese Sociology

Table 2 The logistic regression of delayed school entry for one year on child’s birth month

	Model 2.1	Model 2.2	Model 2.3	Model 2.4
Mother’s years of schooling	−0.045**	− 0.045**	− 0.068**	− 0.046**
	(0.002)	(0.002)	(0.002)	(0.002)
Father’s occupation: Cadre	−0.715**	− 0.715**	− 0.730**	− 0.937**
	(0.039)	(0.039)	(0.039)	(0.053)
Professional	−0.666**	−0.669**	− 0.684**	− 1.083**
	(0.062)	(0.062)	(0.062)	(0.093)
Lower nonmanual worker	−0.320**	− 0.319**	− 0.323**	−0.513**
	(0.028)	(0.028)	(0.028)	(0.036)
Manual worker	−0.252**	−0.253**	− 0.254**	−0.469**
	(0.022)	(0.022)	(0.022)	(0.027)
Birth month: February	0.070*
	(0.029)
March	0.172**
	(0.029)
April	0.249**
	(0.029)
May	0.314**
	(0.029)
June	0.367**
	(0.029)
July	0.460**
	(0.028)
August	0.492**
	(0.028)
September	−0.711**
	(0.031)
October	−0.694**
	(0.030)
November	−0.662**
	(0.031)
December	−0.513**
	(0.031)
Born in May–August		0.289**	−0.010	0.153**
		(0.014)	(0.021)	(0.016)
Born in September–December		−0.768**	−0.772**	− 0.773**
		(0.015)	(0.015)	(0.015)
Mother’s years of schooling × born in May–Aug.			0.059**
			(0.003)
Cadre father × born in May–Aug.				0.530**
				(0.073)
Professional father × born in May–Aug.				0.885**
				(0.119)
Lower nonmanual worker father × born in May–Aug.				0.492**
				(0.050)
Manual worker father × born in May–Aug.				0.550**
				(0.036)

Notes: The numbers in parentheses are standard errors. **p < 0.01; *p < 0.05. N = 197,102. Omitted dummy variables as reference group are father’s occupation as peasant, born in January (for Model 2.1), and born in January–April (for Model 2.2, Model 2.3, and Model 2.4). Estimates for intercepts and control variables, including child’s years of birth, sex, sibship size, and rural-urban residence, are not presented in Table 2