| (1) | (2) | |
|---|---|---|
| Univariate | ||
| Share of population using internet | 0.31*** | |
| (0.06) | ||
| Share of employees using internet at work | 0.44*** | |
| (0.1) | ||
| Constant | − 0.0002 | 0.02*** |
| (0.05) | (0.01) | |
| Multivariate | ||
| Share of population using internet | 0.12 | |
| (0.07) | ||
| Share of employees using internet at work | 0.41*** | |
| (0.02) | ||
| log(GDP per capita) in 2019 | 0.02** | − 0.05*** |
| (0.01) | (0.02) | |
| Share of service occupations | 0.15** | 7.01*** |
| (0.07) | (2.62) | |
| Share of high-skilled workers | 0.08** | 0.14*** |
| (0.03) | (0.03) | |
| Constant | − 0.23** | 0.48** |
| (0.11) | (0.19) | |
| N | 35 | 219 |
Source: PIAAC survey; Dingel and Neiman (2020); World Bank World Development Indicators; OECD ICT Access and Usage by Businesses
Note: In Column 1, the dependent variable is an average tele-workability index at the country level for 35 countries. In Column 2, the dependent variable is an average tele-workability index at the country and sector level for 23 countries and 10 sectors (data on computer use in the Finance sector is available only for 12 countries). Robust standard errors are in parentheses. *** denotes significance at the 99% level, ** at the 95% level, and * at the 90% level