From Financial Times
As philanthropy becomes a common source of finance for poverty-fighting programmes, it is natural for donors to want data about their impact on the people they want to help.
Yet measuring the benefits of philanthropy is surprisingly hard. How can we define and measure “income” in a village of subsistence farmers? Can we ask a street kid enrolled in a violence-prevention programme about his illegal activities? How do we know if a change in nutritional outcomes was the result of a social programme and not some other variable, like a change in food prices? How can we measure non-quantitative or non-monetary outcomes, like women’s empowerment or entrepreneurial motivation?
For many years, aid impact studies were based on anecdotal evidence or fragments of data. Over the past decade, searching for a more rigorous approach, development researchers have applied the “gold standard” of medical research: randomised controlled trials. In an RCT, researchers allocate an intervention, such as a microfinance loan, to a randomly selected test group of people and compare their outcomes with a control group. Read More