Table 3.
Impact of Peer Effects on COVID-19 Policy
| Variables | Model 1 | Model 2 |
|---|---|---|
| R-squared | 0.747 | 0.856 |
| Countries | 118 | 77 |
| Observations | 16,710 | 11,080 |
| Policy Stringency | Coefficient. Robust Standard Error. | |
| COVID-19 Cases | 32,211*** | 23,017 |
| (11,910) | (21,990) | |
| Nationalism | 3464* | 2001 |
| (1834) | (1469) | |
| Democracy | −349.4 | 980.1 |
| (4262) | (4782) | |
| Govt Effectiveness | 3411** | 3488** |
| (1689) | (1345) | |
| IGO | 83.56 | 77.81 |
| (61.73) | (62.71) | |
| % Over 65 | −480.8 | −521.5** |
| (344.7) | (253.2) | |
| Hospital Beds | −299.2 | 492.3 |
| (554.1) | (450.8) | |
| Arrivals | 4.11e-06 | −7.72e-07 |
| (3.00e-05) | (1.91e-05) | |
| GDP | −3465*** | −2702 |
| (1199) | (2168) | |
| Neighbor COVID−19 Cases | 1040 | -1080 |
| (821.0) | (778.7) | |
| Nationalist Peer Stringency | 0.184*** | 0.0664*** |
| (0.00919) | (0.0132) | |
| Geographic Peer Stringency | 0.590*** | |
| (0.0652) | ||
| Trade Peer Stringency | −5.26e-08 | |
| (1.10e-07) | ||
| Political Peer Stringency | 0.00278 | |
| (0.00289) | ||
| Lingual Peer Stringency | 0.0202 | |
| (0.0303) | ||
| Constant | 10.92*** | 4.745*** |
| (2.177) | (1.644) | |
*** p < 0.01, ** p < 0.05, *p < 0.1