Determinants of subjects’ risk premium. The GLS estimates of a random effects model
| Dependent variable: Individual risk premium | |
|---|---|
| Increment | 0.071 |
| (0.113) | |
| Lottery’s expected value | −0.053 |
| (0.012) | |
| Delay | 0.075 |
| (0.117) | |
| Number of rows in risk task | −0.046* |
| (0.013) | |
| L1-L5 order | −0.052 |
| (0.126) | |
| Cognitive ability | −0.011 |
| (0.032) | |
| Female | −0.068 (0.122) |
| Age | −0.011 |
| (0.045) | |
| Posgrad | −0.08 |
| (0.0135) | |
| Low income | 0.019 |
| (0.012) | |
| Observations | 1.188 |
| 0.56 | |
| Increment | 0.071 |
| (0.113) | |
| Lottery’s expected value | −0.053 |
| (0.012) | |
| Delay | 0.075 |
| (0.117) | |
| Number of rows in risk task | −0.046* |
| (0.013) | |
| L1-L5 order | −0.052 |
| (0.126) | |
| Cognitive ability | −0.011 |
| (0.032) | |
| Female | −0.068 (0.122) |
| Age | −0.011 |
| (0.045) | |
| Posgrad | −0.08 |
| (0.0135) | |
| Low income | 0.019 |
| (0.012) | |
| Observations | 1.188 |
| 0.56 | |
Note(s): *p < 0.1, **p < 0.05, ***p < 0.01. Reported standard errors (in parenthesis) account for potential clustering on the session-group level. Increment is equal to one if the subject is assigned to the treatment in which she receives 7 (GBP) before the second round of risk-elicitation tasks (part three) and zero otherwise
Source(s): Table by author
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