Table A2.
ATE of Retirement Sequences on Functional Ability.
Complete-early | Late-early | Partial-early | Compact-early | Partial-complete | |
---|---|---|---|---|---|
Age | 0.02 (0.01)** | 0.02 (0.01)** | 0.02 (0.01)** | 0.02 (0.01)** | −0.05 (0.01)*** |
Age2 | −0.01 (0.00)*** | −0.01 (0.00)*** | −0.00 (0.00)*** | −0.01 (0.00)*** | 0.00 (0.00) |
ATE | 0.62 (0.05)*** | 0.69 (0.05)*** | 0.60 (0.05)*** | 0.58 (0.06)*** | −0.01 (0.04) |
ATE × Age | −0.08 (0.02)*** | −0.02 (0.02) | −0.02 (0.02) | −0.04 (0.03) | 0.04 (0.02)*** |
ATE × Age2 | 0.01 (0.00)*** | 0.00 (0.00) | 0.00 (0.00)* | 0.00 (0.00) | −0.00 (0.00) |
Observations | 26,010 | 22,854 | 24,678 | 20,550 | 16,020 |
Individuals | 4,335 | 3,809 | 4,113 | 3,425 | 2,670 |
Blocks | 1,620 | 1,130 | 1,410 | 774 | 1,100 |
Compact-complete | Ambiguous-complete | Late-complete | Ambiguous-early | Ambiguous-late | |
Age | −0.05 (0.01)*** | −0.08 (0.03)** | −0.05 (0.01)*** | 0.02 (0.01) | −0.07 (0.07) |
Age2 | 0.00 (0.00) | 0.00 (0.00) | −0.00 (0.00) | −0.00 (0.00)*** | 0.00 (0.01) |
ATE | −0.03 (0.06) | −1.09 (0.18)*** | 0.11 (0.05)** | −0.36 (0.14)*** | −1.01 (0.12)*** |
ATE × Age | 0.03 (0.03) | 0.25 (0.12)** | 0.01 (0.02) | 0.10 (0.09) | 0.08 (0.08) |
ATE × Age2 | −0.00 (0.00) | −0.02 (0.01)* | 0.00 (0.00) | −0.01 (0.01) | −0.01 (0.01) |
Observations | 11,892 | 13,866 | 14,196 | 22,524 | 10,710 |
Individuals | 1,982 | 2,311 | 2,366 | 3,754 | 1,785 |
Blocks | 625 | 606 | 943 | 934 | 416 |
Ambiguous-partial | Ambiguous-compact | Partial-late | Compact-late | Partial-compact | |
Age | −0.02 (0.02) | −0.06 (0.03)* | −0.01 (0.01) | −0.01 (0.01) | −0.03 (0.02) |
Age2 | 0.00 (0.00) | 0.00 (0.00) | −0.00 (0.00)* | −0.00 (0.00)* | −0.00 (0.00) |
ATE | −0.90 (0.10)*** | −0.88 (0.09)*** | −0.08 (0.05)* | −0.12 (0.07)* | 0.00 (0.06) |
ATE × Age | 0.07 (0.05) | 0.09 (0.04)** | −0.00 (0.02) | −0.00 (0.03) | 0.02 (0.02) |
ATE × Age2 | −0.01 (0.00)* | −0.01 (0.00)** | 0.00 (0.00) | −0.00 (0.00) | 0.00 (0.00) |
Observations | 12,534 | 8,406 | 12,864 | 8,736 | 10,560 |
Individuals | 2,089 | 1,401 | 2,144 | 1,456 | 1,760 |
Blocks | 519 | 462 | 871 | 491 | 561 |
Note. As the full matching procedure creates blocks of individuals, where one treated individual is matched with one or more controls (or vice versa), the ATE is estimated using a hierarchical regression model with weights that correct for the number of treated and control individuals in each block. Intercepts and random components are omitted. ATE = average treatment effect.
p < .05.
p < .01.
p < .001.