Table 6-2
Heterogeneity of cancer effects on earnings (zero earnings included), by sample characteristics
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| Differences in cancer effects |
||
|---|---|---|
| dollars | standard error | |
| T+1Note 1 | ||
| Age at T | ||
| 25 to 34 | 4,337.53Note ** | 1,581.50 |
| 35 to 44 | -982.43 | 1,098.64 |
| 45 to 54 | -1,361.36 | 1,035.92 |
| 55 to 61 | 1,700.80 | 1,991.31 |
| Highest level of schooling | ||
| No high school | 400.24 | 1,165.61 |
| High school, with/without trades certification | 149.84 | 995.47 |
| Postsecondary non-university | -903.13 | 1,417.18 |
| University degree | 78.07 | 3,881.43 |
| Quintiles of earnings at T-1 | ||
| Lowest | 2,802.57Note ** | 1,064.16 |
| Second | 666.51 | 1,024.41 |
| Third | -43.56 | 1,082.79 |
| Fourth | -762.02 | 1,206.78 |
| Highest | -3,674.27 | 3,833.93 |
| T+3Note 2 | ||
| Age at T | ||
| 25 to 34 | 5,020.94Note ** | 1,740.39 |
| 35 to 44 | -1,181.10 | 1,033.17 |
| 45 to 54 | -720.37 | 964.59 |
| 55 to 61 | 752.23 | 1,639.10 |
| Highest level of schooling | ||
| No high school | -597.08 | 1,022.11 |
| High school, with/without trades certification | 733.24 | 920.51 |
| Postsecondary non-university | 234.04 | 1,334.48 |
| University degree | -1,130.42 | 3,287.29 |
| Quintiles of earnings at T-1 | ||
| Lowest | 2,081.94Note * | 977.97 |
| Second | 1,322.43 | 954.97 |
| Third | 849.97 | 1,079.76 |
| Fourth | -226.33 | 1,284.24 |
| Highest | -5,088.98 | 3,292.04 |
Note: Results are computed based on a linear regression model with Coarsened Exact Matching (CEM) weights. To estimate the age-group-specific cancer effects, age categories are included instead of age and age squared. Otherwise, all regressions are conditional on interactions between cancer and a set of the categorical variables and the full set of control variables listed in Subsection 2.3. T: year of cancer diagnosis for cancer sample. T-1: T minus one. Author's calculations. Source: Statistics Canada, 1991 Census–Longitudinal Worker File. |
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