Table 5
The estimated impact of real wages on the outcomes of potential college and university enrollees
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Percentile | ||||
---|---|---|---|---|
15th | 25th | 35th | 45th | |
Column 1 | Column 2 | Column 3 | Column 4 | |
parameter estimates | ||||
Outcome | ||||
Being enrolled in school | ||||
Ordinary least squares | -0.22Note *** | -0.15Note *** | -0.06Note † | 0.03 |
Two-stage least squares | -0.27Note * | -0.28Note * | -0.31Note † | -0.33Note † |
Efficient Wald Estimator | -0.09 | -0.10 | -0.06 | -0.05 |
Being employed | ||||
Ordinary least squares | 0.94Note *** | 0.72Note *** | 0.47Note *** | 0.2Note *** |
Two-stage least squares | 0.22Note * | 0.23Note * | 0.26Note * | 0.27Note * |
Efficient Wald Estimator | 0.3Note *** | 0.28Note *** | 0.24Note *** | 0.17Note *** |
Being neither in school nor employed | ||||
Ordinary least squares | -0.28Note *** | -0.22Note *** | -0.14Note *** | -0.06Note *** |
Two-stage least squares | -0.1Note * | -0.1Note * | -0.11Note * | -0.12Note * |
Efficient Wald Estimator | -0.09Note *** | -0.09Note *** | -0.1Note *** | 0.08Note ** |
numbers | ||||
School enrollment rate in 2001 | 0.50 | 0.50 | 0.50 | 0.50 |
Employment rate in 2001 | 0.61 | 0.61 | 0.61 | 0.61 |
"Neither in school nor employed" rate in 2001 | 0.11 | 0.11 | 0.11 | 0.11 |
Sample size (ordinary least squares and two-stage least squares) | 106,321 | 106,321 | 106,321 | 106,321 |
Grouped observations (Efficient Wald Estimator) | 621 | 621 | 621 | 621 |
Clusters | 84 | 84 | 84 | 84 |
Average sample size per grouped observation | 171.2 | 171.2 | 171.2 | 171.2 |
Note: The sample consists of young men with a high school diploma, individuals with some postsecondary education, individuals with a diploma from a community college or CEGEP, and individuals with a university certificate below a bachelor's degree. The numbers show the estimated impact of log after-tax real wages on young men's probability of being enrolled in university full-time, being employed, and being neither enrolled in school nor employed. Separate regressions are run based on various percentiles used for imputing wages of non-employed men. All regressions include fully interacted age, education and region indicators, year effects, month indicators, a renter indicator, a census metropolitan area/census agglomeration indicator, the unemployment rate and the rate of involuntary part-time employment defined at the age, education and region level, as well as province-specific log real minimum wages, log average real tuition fees for a bachelor’s degree and levels of social assistance income available to single individuals. P-values are based on standard errors clustered at the age, education and region level. |
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