Table 2.
Regression results of the impact of government investment in different fields on income inequality.
| Name of Variate |
Model 1 |
Model 2 |
Model 3 |
Model 4 |
Model 5 |
Model 6 |
Model 7 |
Model 8 |
Model 9 |
Model 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| Type of Model | FE | RE | FE | RE | FE | RE | FE | RE | FE | RE |
| Indicator of government investment | −.0344*** (1%) | −.0347*** (1%) | −.03438*** (1%) | −.03472*** (1%) | −.1449** (5%) | −.1706*** (1%) | −.0467*** (1%) | −.0486*** (1%) | −.0784*** (1%) | −.0775*** (1%) |
| Financial development | −.2466*** (1%) | −.2123*** (1%) | −.2466*** (1%) | −.2123*** (1%) | −.2602*** (1%) | −.2151*** (1%) | −.2203*** (1%) | −.1843*** (1%) | −.2170*** (1%) | −.1867*** (1%) |
| Rate of unemployment | 22.8420*** (1%) | 20.5026*** (1%) | 22.8420*** (1%) | 20.5026*** (1%) | 24.4947*** (1%) | 22.2857*** (1%) | 23.6394*** (1%) | 21.6852*** (1%) | 23.3064*** (1%) | 21.1434*** (1%) |
| Level of education | −1.1698** (5%) | −1.5120*** (1%) | −1.1698** (5%) | −1.5120*** (1%) | −2.3443*** (1%) | −2.4084*** (1%) | −1.2314** (5%) | −1.4780** (5%) | −0.8518 | −1.2625** (5%) |
| Constant term | 2.6722*** (1%) | 2.7522*** (1%) | 2.6722*** (1%) | 2.7522*** (1%) | 2.6641*** (1%) | 2.7108*** (1%) | 2.6141*** (1%) | 2.6740*** (1%) | 2.5801*** (1%) | 2.6621*** (1%) |
| FE of year | Control | Control | Control | Control | Control | Control | Control | Control | Control | Control |
| FE of region | Control | Control | Control | Control | Control | Control | Control | Control | Control | Control |
| F-value | 112.30 | – | 112.30 | – | 94.17 | – | 105.93 | – | 123.02 | – |
| Wald chi2 | – | 426.51 | – | 426.51 | – | 353.32 | – | 408.31 | – | 466.68 |
| R-sq_within | 0.5948 | 0.5934 | 0.5948 | 0.5934 | 0.5518 | 0.5502 | 0.5807 | 0.5794 | 0.6166 | 0.6152 |
Note: The fitting factors are significant at 1%, 5% and 10%, respectively. The parameters in parentheses are the corresponding t-value or z-value.