| . | (1) . | (2) . | (3) . | (4) . | (5) . | (6) . |
|---|---|---|---|---|---|---|
| H1 | ||||||
| PM (ln) | −0.0192** (0.00751) | |||||
| PM (lag-ln) | −0.0148*** (0.00495) | −0.00802 (0.00770) | ||||
| Total amount (lag-ln) | −0.0147*** (0.00407) | |||||
| H1a | ||||||
| PC (ln) | −0.0227*** (0.00760) | |||||
| PC (lag-ln) | −0.0155*** (0.00512) | −0.00916 (0.00798) | ||||
| H3 | ||||||
| Land value (ln) | −0.0678 (0.224) | −0.181 (0.215) | 0.181 (0.174) | 0.286 (0.184) | 0.257 (0.186) | 0.337* (0.182) |
| H4 | ||||||
| Exports (ln) | −0.175 (0.161) | −0.141 (0.165) | −0.0671 (0.107) | −0.0871 (0.106) | −0.0746 (0.107) | −0.0779 (0.104) |
| Constant | 4.853 (3.257) | 5.102 (3.324) | 0.373 (2.275) | −0.108 (2.311) | −0.112 (2.310) | −0.710 (2.287) |
| FE province | YES | YES | YES | YES | YES | YES |
| Observations | 111 | 111 | 100 | 100 | 100 | 100 |
| R2 | 0.156 | 0.137 | 0.104 | 0.106 | 0.118 | 0.142 |
| Provinces | 12 | 12 | 12 | 12 | 12 | 12 |
| LogLik | −55.97 | −57.26 | −5.729 | −5.594 | −4.951 | −3.571 |
| . | (1) . | (2) . | (3) . | (4) . | (5) . | (6) . |
|---|---|---|---|---|---|---|
| H1 | ||||||
| PM (ln) | −0.0192** (0.00751) | |||||
| PM (lag-ln) | −0.0148*** (0.00495) | −0.00802 (0.00770) | ||||
| Total amount (lag-ln) | −0.0147*** (0.00407) | |||||
| H1a | ||||||
| PC (ln) | −0.0227*** (0.00760) | |||||
| PC (lag-ln) | −0.0155*** (0.00512) | −0.00916 (0.00798) | ||||
| H3 | ||||||
| Land value (ln) | −0.0678 (0.224) | −0.181 (0.215) | 0.181 (0.174) | 0.286 (0.184) | 0.257 (0.186) | 0.337* (0.182) |
| H4 | ||||||
| Exports (ln) | −0.175 (0.161) | −0.141 (0.165) | −0.0671 (0.107) | −0.0871 (0.106) | −0.0746 (0.107) | −0.0779 (0.104) |
| Constant | 4.853 (3.257) | 5.102 (3.324) | 0.373 (2.275) | −0.108 (2.311) | −0.112 (2.310) | −0.710 (2.287) |
| FE province | YES | YES | YES | YES | YES | YES |
| Observations | 111 | 111 | 100 | 100 | 100 | 100 |
| R2 | 0.156 | 0.137 | 0.104 | 0.106 | 0.118 | 0.142 |
| Provinces | 12 | 12 | 12 | 12 | 12 | 12 |
| LogLik | −55.97 | −57.26 | −5.729 | −5.594 | −4.951 | −3.571 |
Note: The DV is the total loss of coverage by year and by province. Standard errors are in parentheses. It should be noted that fixed effect models tend to have a lower R2 than random effect models and basic ordinary least squares because they discard information of variation across cases.
***p < 0.01. **p < 0.05. *p < 0.1. Correlation between PC and PM is 0.7913. Therefore, given that they are highly collinear, we ran them separately.