Table 10.
Selected NPIs and change in daily Google mobility indexes, with country characteristics interactions, FE, selected countries, N = 931
| places of | shopping & | transit | parks and | ||
|---|---|---|---|---|---|
| residence | restaurants | stations | beaches | workplaces | |
| (1) | (2) | (3) | (4) | (5) | |
| SH {0, 1} | 4.7500*** | − 18.5376*** | − 17.6945*** | − 14.8404*** | − 12.2028*** |
| (0.7853) | (2.1970) | (1.9856) | (3.0371) | (2.0726) | |
| ET {0, 1} | 3.4747 | − 7.2428 | − 6.9846 | − 12.9569 | − 6.9969 |
| (2.5306) | (7.0795) | (6.3983) | (9.7868) | (6.6789) | |
| SWC {0, 1} | 8.5231*** | − 22.6599*** | − 22.8909*** | − 8.3333*** | − 19.2642*** |
| (0.4517) | (1.2638) | (1.1422) | (1.7471) | (1.1923) | |
| ET {0, 1} * ln GDP pc | − 0.1754 | 0.8619 | − 2.5448 | − 4.262 | 0.793 |
| (1.3352) | (3.7354) | (3.3760) | (5.1639) | (3.5241) | |
| SWC {0, 1} * ln GDP pc | 1.7049** | − 0.4116 | − 4.4664** | 6.7863** | − 4.1433* |
| (0.8394) | (2.3484) | (2.1224) | (3.2464) | (2.2155) | |
| ET {0, 1} * Pop density | − 5.7416 | 27.5447 | 24.1445 | − 10.3581 | 8.9891 |
| (8.8919) | (24.8756) | (22.4822) | (34.3883) | (23.4681) | |
| SWC {0, 1} * Pop density | 1.2112 | 4.7433 | 6.4500** | − 5.5536 | − 1.3419 |
| (1.2343) | (3.4531) | (3.1208) | (4.7736) | (3.2577) | |
| ET {0, 1} * ln surface area | − 0.425 | − 0.3478 | − 0.0273 | − 4.9618 | 2.6434 |
| (1.8496) | (5.1745) | (4.6766) | (7.1533) | (4.8817) | |
| SWC {0, 1} * ln surface area | − 2.2713*** | 10.1710*** | 5.8878*** | 2.6459 | 5.4783*** |
| (0.6972) | (1.9506) | (1.7629) | (2.6965) | (1.8402) | |
| ET {0, 1} * PM2.5 | 0.9997 | − 4.307 | 0.7838 | 3.4286 | 0.7272 |
| (2.5832) | (7.2266) | (6.5313) | (9.9901) | (6.8177) | |
| SWC {0, 1} * PM2.5 | − 3.6524*** | 7.8357*** | 7.5327*** | 4.6032** | 9.3784*** |
| (0.4734) | (1.3243) | (1.1969) | (1.8308) | (1.2494) | |
| ET {0, 1} * Empl. rate | − 4.4193 | 6.9895 | 4.1192 | 11.1292 | 8.7684 |
| (3.1182) | (8.7234) | (7.8840) | (12.0593) | (8.2298) | |
| SWC {0, 1} * Empl. rate | − 2.5362*** | 6.6738*** | 6.1872*** | 2.9846 | 7.1370*** |
| (0.6443) | (1.8024) | (1.6289) | (2.4916) | (1.7004) | |
| ET {0, 1} * Health expend. %GDP | − 0.9834 | 2.5495 | 5.6588 | − 0.5059 | 1.6302 |
| (1.5591) | (4.3616) | (3.9419) | (6.0295) | (4.1148) | |
| SWC {0, 1} * Health expend. %GDP | − 1.6749** | 3.5900* | 3.7627** | 5.6748** | 3.9480** |
| (0.6850) | (1.9164) | (1.7320) | (2.6492) | (1.8079) | |
| ET {0, 1} * Physicians/1000 | 2.9961 | − 6.1762 | − 4.9329 | − 16.7703** | − 5.8405 |
| (2.0387) | (5.7034) | (5.1546) | (7.8844) | (5.3807) | |
| SWC {0, 1} * Physicians/1000 | 0.1757 | − 4.1994** | − 2.2918 | − 8.1691*** | − 0.0946 |
| (0.6137) | (1.7168) | (1.5516) | (2.3733) | (1.6196) | |
| ET {0, 1} * % 65 yo + | − 0.5897 | 0.3089 | 3.2573 | 20.4750* | 1.7687 |
| (2.9061) | (8.1300) | (7.3478) | (11.2391) | (7.6700) | |
| SWC {0, 1} * % 65 yo + | − 2.7104*** | 5.2031*** | 4.7482*** | 6.8678** | 5.8205*** |
| (0.6909) | (1.9330) | (1.7470) | (2.6721) | (1.8236) | |
| R2 adj. | 0.661 | 0.638 | 0.691 | 0.458 | 0.579 |
Note: The subset of selected countries Google mobility data shows how time spent in different location categories changed compared to the baseline days (a normal value for that day of the week in the 5-week period Jan 3 – Feb 6, 2020). ET denotes extensive testing NPI; SWC denotes schools and/or workplaces closures; SH denotes “stay-at-home” NPI. Coefficients presented, standard errors in parenthesis. Statistical significance is denoted as *10%, **5%, and ***1% levels