The impact of minimum age of employment regulation on child labor and schooling *

Table 3 Analysis of variance in key outcomes

*Children 8-14, Pooled Results*
Dependent Variable	Explanatory Variable	All Countries	Africa	Non-Africa
Paid Employment
	Age	0.71	0.48	1.09
	Gender	0.09	0.06	0.14
	Household	63.29	67.14	57.70
	Model	64.22	67.77	59.17
Attends School
	Age	0.56	0.16	2.28
	Gender	0.18	0.33	0.05
	Household	70.36	72.77	61.06
	Model	71.30	73.68	63.68
Idle (No School nor Any Type of Work)
	Age	0.54	0.85	0.27
	Gender	0.04	0.07	0.02
	Household	62.16	66.48	51.20
	Model	63.00	67.85	51.53

For each dependent variable, we regress the dependent variable on dummies for age, gender, and household. Each cell is the fraction of the total sum of squares in the dependent variable that can be explained by the row variable in the model (the partial sum of squares divided by the total sum of squares). The model row contains the explained sum of squares as a fraction of the total sum of squares. Pooled results are estimated by combining all survey data and weighting by the inverse sampling probability for each individual. Africa restricts the sample to countries listed as such in Table 1. Non-Africa restricts the sample to the remaining countries.