Table 2 Linear probability model of labor force participation
From: Money also is sunny in a retiree’s world: financial incentives and work after retirement
Dependent variable: labor force participation | Women | Men |
|---|---|---|
Individual characteristics | ||
Estimated earnings (log) | 0.056* (0.019) | 0.246** (0.055) |
Pension entitlements (log) | − 0.055** (0.006) | − 0.165** (0.008) |
Bridge option: partial retirement | − 0.078** (0.007) | − 0.060** (0.005) |
Bridge option: unemployment | − 0.323** (0.006) | − 0.266** (0.005) |
No degree | Ref. | Ref. |
Vocational training | 0.032** (0.006) | 0.025 (0.013) |
University degree | 0.005 (0.012) | − 0.075* (0.031) |
Manufacturing occupations | Ref. | Ref. |
Service occupations | 0.011 (0.008) | − 0.021 (0.014) |
Administrative occupations | − 0.010 (0.008) | − 0.042** (0.012) |
Accumulated labor market gaps prior to age 65 in months | − 0.006** (0.0007) | − 0.001 (0.001) |
Employer characteristics | ||
Firm size: < 10 employees | Ref. | Ref. |
10 to 100 employees | − 0.027** (0.006) | − 0.019** (0.007) |
> 100 employees | − 0.044** (0.007) | − 0.059** (0.008) |
Mean imputed earnings of all full-time employees | − 0.0004** (0.00009) | − 0.000006 (0.00006) |
Share of highly qualified employees | − 0.027 (0.016) | − 0.112** (0.016) |
Share of employees in partial retirement | − 0.204** (0.061) | − 0.128** (0.049) |
Share of employees aged 55–59 | − 0.030 (0.017) | − 0.013 (0.017) |
Share of employees aged 60–64 | − 0.033 (0.023) | − 0.065** (0.021) |
Share of employees aged 65 and older | 0.514** (0.048) | 0.527** (0.051) |
N | 30,784 | 44,887 |
R2 | 0.307 | 0.210 |