Through this process, two groups were created: 1) a treatment group, comprised of those individuals living in regions where broadband was introduced during the 2010-11 period, and 2) a control group, comprised of those individuals living in regions that already had access to residential broadband services by the fourth quarter of 2009. Using this approach, and given that the treatment group and the control group are statistically equal at the baseline of the observed variables, a regression model that estimates the impact of treatment on individual income levels was built. Controls were included for the variables that at the individual level can affect income (age, gender, employment status and healthcare coverage, level of formal education, and role within the family).