Table 2
Results of first-stage regressions (dependent variable is log after-tax real wages)
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Percentile | ||||
---|---|---|---|---|
15th | 25th | 35th | 45th | |
Column 1 | Column 2 | Column 3 | Column 4 | |
All young men | ||||
Instrumental variable based on oil prices – parameter estimate | 2.37Note *** | 2.16Note *** | 1.91Note *** | 1.75Note *** |
Kleibergen-Paap Wald F statistic | 73.0 | 52.8 | 42.2 | 34.8 |
Young men with no high school diploma | ||||
Instrumental variable based on oil prices – parameter estimate | 2.01Note *** | 1.66Note *** | 1.42Note *** | 1.23Note ** |
Kleibergen-Paap Wald F statistic | 20.5 | 15.6 | 10.7 | 10.0 |
Young men – Potential college and university enrollees | ||||
Instrumental variable based on oil prices – parameter estimate | 2.74Note *** | 2.62Note *** | 2.33Note *** | 2.22Note *** |
Kleibergen-Paap Wald F statistic | 50.8 | 36.8 | 29.4 | 26.9 |
Note: The numbers show the coefficient of the instrumental variable based on oil prices in the first-stage regressions of log after-tax real wages. P-values are based on standard errors that are clustered at the fully interacted age, education and region level. Separate regressions are run based on various percentiles used for imputing wages of non-employed men. All regressions also 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. |
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