Effect of layoffs on fertility: Average effects
| Year After Layoff . | Model A: LPMTreated . | Model B: IPWTreated . | Number of Observations . |
|---|---|---|---|
| 1 | −0.017** | −0.017** | 115,058 |
| (0.006) | (0.007) | ||
| 2 | −0.014 | −0.014 | 109,027 |
| (0.009) | (0.010) | ||
| 3 | −0.014 | −0.014 | 102,651 |
| (0.011) | (0.012) | ||
| 4 | −0.013 | −0.012 | 96,494 |
| (0.013) | (0.013) | ||
| 5 | −0.016 | −0.015 | 90,560 |
| (0.014) | (0.014) |
| Year After Layoff . | Model A: LPMTreated . | Model B: IPWTreated . | Number of Observations . |
|---|---|---|---|
| 1 | −0.017** | −0.017** | 115,058 |
| (0.006) | (0.007) | ||
| 2 | −0.014 | −0.014 | 109,027 |
| (0.009) | (0.010) | ||
| 3 | −0.014 | −0.014 | 102,651 |
| (0.011) | (0.012) | ||
| 4 | −0.013 | −0.012 | 96,494 |
| (0.013) | (0.013) | ||
| 5 | −0.016 | −0.015 | 90,560 |
| (0.014) | (0.014) |
Notes: Dependent variable is cumulated first-birth probability. Model A: OLS regression of the linear probability model. The full model for year 1 after the layoff is reported in Table S6 in Online Resource 1. Model B: Inverse probability weighting (IPW) estimation. For the IPW estimators, the standard errors are bootstrapped with 500 replications. Controlled for the variables listed in Table S1 in Online Resource 1.
**p ≤ .01