Table 4.
Estimations with binary on positive attitude for each technological device for males
| Tablet | Smartphone | Social Networks | Voice-Controlled PC | Tracking System | Auto Fall Alert | Personal Alarm | Auto Cooker Control | |
|---|---|---|---|---|---|---|---|---|
| Age group (ref.: 50–59) | ||||||||
| 60–69 | 0.10 | 0.11* | 0.07 | 0.03 | 0.06 | 0.04 | 0.06 | 0.10 |
| 70–79 | 0.27*** | 0.31*** | 0.23*** | 0.11 | 0.04 | 0.00 | 0.02 | 0.00 |
| 80+ | 0.40*** | 0.51*** | 0.35*** | 0.27*** | 0.05 | 0.05 | 0.02 | 0.08 |
| Higher education (ref.: no) | ||||||||
| Yes | 0.20*** | 0.21*** | 0.07 | 0.20*** | 0.15*** | 0.08 | 0.07 | 0.03 |
| Employment (ref.: not employed/retired) | ||||||||
| White collar | 0.20** | 0.20*** | 0.08 | 0.20** | 0.19** | 0.17* | 0.15* | 0.25*** |
| Blue collar | 0.06 | 0.07 | 0.01 | 0.06 | 0.08 | 0.13 | 0.17* | 0.08 |
| Financial distress (ref.: no) | ||||||||
| Yes | 0.05 | 0.01 | 0.02 | 0.02 | 0.11 | 0.16* | 0.10 | 0.10 |
| Living in a house (ref.: no) | ||||||||
| Yes | 0.07 | 0.01 | 0.02 | 0.06 | 0.03 | 0.02 | 0.03 | 0.05 |
| Urban area | ||||||||
| Yes | 0.10* | 0.10* | 0.09 | 0.00 | 0.05 | 0.02 | 0.01 | 0.01 |
| Partner in household (ref.: no) | ||||||||
| Yes | 0.03 | 0.02 | 0.08 | 0.01 | 0.10 | 0.03 | 0.03 | 0.11* |
| Has children (ref.: no) | ||||||||
| Yes | 0.04 | 0.01 | 0.08 | 0.05 | 0.04 | 0.04 | 0.03 | 0.06 |
| Poor or fair health (ref.: no) | ||||||||
| Yes | 0.05 | 0.06 | 0.06 | 0.00 | 0.11* | 0.15*** | 0.16*** | 0.10 |
| # IADL limitations | 0.02 | 0.04* | 0.04 | 0.00 | 0.00 | 0.03 | 0.02 | 0.02 |
| Observations | 1022 | 1065 | 1038 | 981 | 1007 | 1000 | 1017 | 955 |
Marginal effects at means from probit estimation. + , *, **, ***