Table 5:
Effects of macroeconomic conditions on employment outcomes
| Age 60–69 |
Age 70+ |
|||||
|---|---|---|---|---|---|---|
| Sample: | Overall (1) |
ADL lim. (2) |
IADL lim. (3) |
Overall (4) |
ADL lim. (5) |
IADL lim. (6) |
| Outcome: share of kids employed | ||||||
| Unemployment rate | −0.0059** | −0.0028 | −0.0162 | −0.0104*** | −0.0130*** | −0.0106* |
| (0.0023) | (0.0076) | (0.0106) | (0.0024) | (0.0048) | (0.0059) | |
| Observations | 48983 | 6386 | 2790 | 57768 | 14323 | 9679 |
| Mean dependent variable | 0.790 | 0.722 | 0.703 | 0.743 | 0.656 | 0.636 |
| Outcome: share of kids employed part-time | ||||||
| Unemployment rate | 0.0021 | −0.0020 | 0.0115 | 0.0036** | 0.0025 | 0.0005 |
| (0.0024) | (0.0048) | (0.0078) | (0.0017) | (0.0046) | (0.0045) | |
| Observations | 46904 | 5981 | 2570 | 53273 | 12468 | 8270 |
| Mean dependent variable | 0.1045 | 0.1091 | 0.1191 | 0.1027 | 0.1200 | 0.1341 |
| Outcome: spouse employed | ||||||
| Unemployment rate | 0.0011 | 0.0234** | 0.0224 | −0.0001 | −0.0052 | −0.0003 |
| (0.0057) | (0.0089) | (0.0271) | (0.0032) | (0.0051) | (0.0112) | |
| Observations | 36712 | 4011 | 1754 | 32918 | 6134 | 3991 |
| Mean dependent variable | 0.430 | 0.363 | 0.345 | 0.162 | 0.124 | 0.109 |
| Outcome: spouse retired | ||||||
| Unemployment rate | −0.0027 | −0.0026 | −0.0183 | 0.0010 | 0.0118 | 0.0191* |
| (0.0045) | (0.0170) | (0.0276) | (0.0042) | (0.0091) | (0.0109) | |
| Observations | 36747 | 4017 | 1758 | 32944 | 6136 | 3993 |
| Mean dependent variable | 0.553 | 0.568 | 0.544 | 0.790 | 0.789 | 0.782 |
| Outcome: respondent employed | ||||||
| Unemployment rate | 0.0043 | −0.0057 | −0.0033 | −0.0049** | −0.0079*** | −0.0010 |
| (0.0038) | (0.0087) | (0.0105) | (0.0023) | (0.0027) | (0.0030) | |
| Observations | 52458 | 6903 | 3041 | 62780 | 15920 | 10733 |
| Mean dependent variable | 0.4128 | 0.1669 | 0.1506 | 0.1203 | 0.0369 | 0.0257 |
Notes: Each cell reports the coefficient on the state annual unemployment rate from a separate linear probability model on potential caregiver labor supply. The HRS sample is given in the column header. The dependent variables in the first two panels are the share of respondent’s children who are employed and employed part time, respectively. The dependent variables in the second two panels are an indicator for whether the respondent’s spouse works for pay and whether the spouse self-identifies as retired, respectively. The dependent variable in the final panel is an indicator for whether the respondent works for pay. All specifications control for a quadratic in age, gender, education, marital status, race and ethnicity, share of the state population aged 18–64 and aged 65 and over, state log expenditures on total Medicaid and Medicaid HCBS services for the older population and population with physical disabilities, the distribution of children ages, as well as state, year, and linear time trends by state.
p < 0.10,
p < 0.05,
p < 0.01.