The impact of expected child-rearing expenses on childbirth based on the matching of two Korean panel data

International Journal of Child Care and Education Policy

Table 2 Impact of expected child-rearing cost on childbirth: total and in accordance with educational level

Dependent variable: childbirth = 1, no childbirth = 0	Total	Non graduates	Over university-graduates
Panel A: No additional explanatory variables
Expected child-rearing cost	−0.00232* (0.00108)	−0.00610* (0.00325)	0.00090 (0.00522)
Pseudo R²	0.0421	0.0935	0.0203
Panel B: Added the age of mothers and employment status to variables
Expected child-rearing cost	−0.00271* (0.00142)	−0.00554* (0.00294)	0.00513 (0.00384)
Pseudo R²	0.0694	0.1230	0.0351
Panel C: Added family structures (such as living with grandparents) to variables
Expected child-rearing cost	−0.00261 (0.00188)	−0.00332 (0.00211)	−0.00198 (0.00131)
Pseudo R²	0.1120	0.1209	0.0561
Panel D: Added the level of parents’ education to variables
Expected child-rearing cost	−0.00233 (0.00151)	−0.00251 (0.00165)	0.00291 (0.00511)
Pseudo R²	0.1621	0.1884	0.1032
Number of samples	3052	1929	1123

This is a logit regression conducted based on dependent variables, childbirth history of women of childbearing age in KLoWF for 5 years from 2007 to 2012, and explanatory variables, variable of nurturing costs imputed using PSKC. Coefficient values presented in the table is the marginal effect of logit regression (dp/dx). If prospect cost of nurturing children increases by ₩100,000, this is interpreted as a change of childbirth intention. Values in parentheses are robust standard errors
*, **, and *** means statistical significance at the significance level of 10, 5, and 1%, respectively