Skip to main content

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

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

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
  1. 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
  2. *, **, and *** means statistical significance at the significance level of 10, 5, and 1%, respectively