
handle: 11245/1.325450 , 10419/33672
We use two large data sets to estimate the Risk Augmented Mincer equation and test for risk compensation in expected earnings. We replicate earlier findings of a positive premium for risk and a negative premium for skew and add confirmation of the key results if we control for individual ability. We compare risk compensation and risk distributions between some labor market groups and find that immigrants and natives do not differ in risk attitudes, that public sector workers are undercompensated for their risk, and that risk compensation by gender is not fully consistent with higher risk aversion for women. We express concern that a linear compensation model may be too simple.
330, ddc:330, wages, earnings function, J31, risk
330, ddc:330, wages, earnings function, J31, risk
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
