2SLS estimates of the impact of public health efficiency on well-being
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| WIAG | WIGG | WIGA | WIGH | |
| BEFF | 0.1** | 0.09** | 0.067* | 0.14* |
| (0.044) | (0.043) | (0.04) | (0.07) | |
| GDPPC | 0.027* | 0.029** | 0.04*** | 0.019 |
| (0.014) | (0.014) | (0.013) | (0.024) | |
| Taxes | 0.86*** | 0.83*** | 0.88*** | 0.75* |
| (0.208) | (0.29) | (0.24) | (0.44) | |
| Transfers | 0.109 | 0.071 | 0.011 | 0.10 |
| (0.11) | (0.10) | (0.09) | (0.17) | |
| POPDENS | 0.097 | 0.24*** | 0.36*** | 0.13 |
| (0.06) | (0.064) | (0.055) | (0.11) | |
| Kleibergen-Paap LM (p-value) | 0.000 | 0.000 | 0.000 | 0.000 |
| Kleibergen-Paap Wald rk F (stat.) | 86.638 | 86.638 | 86.638 | 86.638 |
| Endogeneity test-BEFF (p-value) | 0.008 | 0.009 | 0.016 | 0.011 |
| Num. observations | 1,632 | 1,632 | 1,632 | 1,632 |
| Province fixed effects | Yes | Yes | Yes | Yes |
| Time dummies | Yes | Yes | Yes | Yes |
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| WIAG | WIGG | WIGA | WIGH | |
| BEFF | 0.1** | 0.09** | 0.067* | 0.14* |
| (0.044) | (0.043) | (0.04) | (0.07) | |
| GDPPC | 0.027* | 0.029** | 0.04*** | 0.019 |
| (0.014) | (0.014) | (0.013) | (0.024) | |
| Taxes | 0.86*** | 0.83*** | 0.88*** | 0.75* |
| (0.208) | (0.29) | (0.24) | (0.44) | |
| Transfers | 0.109 | 0.071 | 0.011 | 0.10 |
| (0.11) | (0.10) | (0.09) | (0.17) | |
| POPDENS | 0.097 | 0.24*** | 0.36*** | 0.13 |
| (0.06) | (0.064) | (0.055) | (0.11) | |
| Kleibergen-Paap LM ( | 0.000 | 0.000 | 0.000 | 0.000 |
| Kleibergen-Paap Wald rk F (stat.) | 86.638 | 86.638 | 86.638 | 86.638 |
| Endogeneity test-BEFF ( | 0.008 | 0.009 | 0.016 | 0.011 |
| Num. observations | 1,632 | 1,632 | 1,632 | 1,632 |
| Province fixed effects | Yes | Yes | Yes | Yes |
| Time dummies | Yes | Yes | Yes | Yes |
Note(s): Cluster-standard errors and p-values in parentheses and *p < 0.10, **p < 0.05, ***p < 0.01
Source(s): Authors’ own elaboration
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