Table 5.
Estimations with binary on positive attitude for each technological device for females
| Tablet | Smartphone | Social networks | Voice-controlled PC | Tracking system | Auto fall alert | Personal alarm | Auto cooker control | |
|---|---|---|---|---|---|---|---|---|
| Age group (ref.: 50-59) | ||||||||
| 60–69 | 0.03 | 0.05 | 0.13* | 0.01 | 0.03 | 0.06 | 0.02 | 0.16** |
| 70–79 | 0.25*** | 0.33*** | 0.29*** | 0.16** | 0.07 | 0.05 | 0.01 | 0.20*** |
| 80+ | 0.42*** | 0.47*** | 0.36*** | 0.24*** | 0.05 | 0.05 | 0.00 | 0.22** |
| Higher education (ref.: no) | ||||||||
| Yes | 0.20*** | 0.21*** | 0.10** | 0.15*** | 0.08 | 0.05 | 0.02 | 0.06 |
| Employment (ref.: not employed/retired) | ||||||||
| White collar | 0.09 | 0.25*** | 0.07 | 0.08 | 0.04 | 0.01 | 0.02 | 0.01 |
| Blue collar | 0.01 | 0.02 | 0.02 | 0.10 | 0.09 | 0.02 | 0.06 | 0.04 |
| Financial distress (ref.: no) | ||||||||
| Yes | 0.04 | 0.06 | 0.06 | 0.01 | 0.04 | 0.07 | 0.04 | 0.04 |
| Living in a house (ref.: no) | ||||||||
| Yes | 0.05 | 0.05 | 0.01 | 0.05 | 0.04 | 0.02 | 0.04 | 0.01 |
| Urban area | ||||||||
| Yes | 0.04 | 0.05 | 0.06 | 0.01 | 0.00 | 0.03 | 0.00 | 0.02 |
| Partner in household (ref.: no) | ||||||||
| Yes | 0.05 | 0.02 | 0.02 | 0.01 | 0.05 | 0.02 | 0.04 | 0.08* |
| Has children (ref.: no) | ||||||||
| Yes | 0.03 | 0.04 | 0.02 | 0.00 | 0.02 | 0.00 | 0.01 | 0.03 |
| Poor or fair health (ref.: no) | ||||||||
| Yes | 0.01 | 0.06 | 0.00 | 0.04 | 0.03 | 0.08* | 0.08* | 0.07 |
| # IADL limitations | 0.08*** | 0.05** | 0.04 | 0.03 | 0.01 | 0.00 | 0.00 | 0.00 |
| Observations | 1364 | 1435 | 1402 | 1321 | 1369 | 1413 | 1443 | 1351 |
Marginal effects at means from probit estimation. +, *, **, ***