Table 5: Regression of GDP per Capita on Subjective Well-Being with Education Variables
| (1) | (2) | (3) | (4) |
| | | | |
| | | | |
ln(GDP per Capita) | 0.785*** | 0.586*** | 0.713*** | 0.570*** |
| (0.0430) | (0.0805) | (0.0681) | (0.0885) |
Primary Enrolment (%) | 0.00257 | | | -0.00239 |
| (0.00465) | | | (0.00527) |
Secondary Enrolment (%) | | 0.00982*** | | 0.0130*** |
| | (0.00330) | | (0.00427) |
Tertiary Enrolment (%) | | | 0.00437 | -0.00275 |
| | | (0.00290) | (0.00339) |
Constant | -2.145*** | -0.835 | -1.411** | -0.632 |
| (0.651) | (0.531) | (0.549) | (0.868) |
| | | | |
Observations | 141 | 133 | 129 | 118 |
R-squared | 0.708 | 0.737 | 0.706 | 0.741 |
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Table 5 controls for education in various forms. Why? What seems to be important here and why do you think thsat is the case?
回归函数应该是wellbeing=-2.145+0.00257*primart enrolment+0.785*GDP
如何解释这个回归函数呢， 比如截距和斜距 还有标准差。题目应该是关于GDP对主观幸福感的教育变量的影响。 另外 为什么教育变量对gdp有什么具体影响呢
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