Estimation results using a 2SLS
| (1) | (2) | |
| Frequency of using internet last month—first stage | Modern contraceptive use 2SLS—second stage | |
| Access to internet | 0.11*** | |
| (0.11 to 0.12) | ||
| Distance | 0.04*** | |
| (0.04 to 0.04) | ||
| Submarines | 0.05*** | |
| (0.04 to 0.07) | ||
| Respondent’s education (reference no education) | ||
| Primary school educated | −0.09*** | 0.08*** |
| (−0.10 to −0.08) | (0.07 to 0.09) | |
| Secondary school educated | 0.30*** | 0.08*** |
| (0.29 to 0.31) | (0.07 to 0.08) | |
| College educated | 1.52*** | NA |
| (1.48 to 1.55) | NA | |
| Constant | 0.11*** | −0.06*** |
| (0.09 to 0.13) | (−0.09 to −0.04) | |
| Employment status and age | No | Yes |
| HH characteristics | No | Yes |
| Year FE | No | Yes |
| Country FE | No | Yes |
| Observations | 125 242 | 125 242 |
Authors’ elaboration on round 7 of DHS, where individuals were interviewed between 2015 and 2019. We regress through a linear probability model whether the woman uses modern contraception on whether she used the internet; here as the instrumental variables are the distance between the largest city in the country and the main server and whether the backbone network in the country has been connected to at least one submarine cable. With term HH characteristics, we mean whether the woman lives with her partner, the number of living children and the household. Wealth in quintiles. SEs are robust to heteroscedasticity. 95% CIs in brackets.
*p<0.1, **p<0.05, ***p<0.01.
DHS, Demographic Health Survey; FE, fixed effects; NA, not available.