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Power Calculations 101: Dealing with Incomplete Take-up

David McKenzie's picture

A key issue in any impact evaluation is take-up (i.e. the proportion of people offered a program who use it). This is particularly an issue in many finance and private sector (FPD) programs. In many health and education programs such as vaccination campaigns or getting children to school programs, the goal of the program is actually to have all eligible individuals participate. In contrast, universal take-up is not the goal of most FPD programs, and, even when it is a goal, it is seldom the reality.

Is it OK to flash money to snip the goods?

Berk Ozler's picture

I was circumcised in the hospital as a very young infant. Most children do get circumcised in Turkey, although I suspect that many are not as lucky as I was, including my younger brother, who went through the ordeal when he was around six years-old. I remember him in some pain and discomfort for what seemed like a long period of time to me at the time, even though it was probably no longer than a few weeks if not days…

What happens when the power goes out? Using blackouts to help understand the determinants of infant health

Jed Friedman's picture

Low birth weight, usually defined as less than 2500 grams at birth, is an important determinant of infant mortality. It is also significantly associated with adverse outcomes well into adulthood such as reduced school attainment and lower earnings. Maternal nutrition is a key determinant of low birth weight and it’s no surprise that nutrition interventions targeted at pregnant mothers can have significant impacts.

Getting organized for progress in agriculture

Markus Goldstein's picture

I recently came across a paper by Kelsey Jack which is a white paper for the J-PAL and CEGA Agricultural Technology Adoption Initiative (ATAI).   This paper systematically explores the barriers to technology adoption that come from market inefficiencies, what we know about these, and what research is going on (under ATAI) to fill these gaps. 

Teachers don’t matter says Nobel Laureate: A new study in Science, and why economists would never publish it…

David McKenzie's picture

At a recent seminar someone joked that the effect size in any education intervention is always 0.1 standard deviations, regardless of what the intervention actually is. So a new study published last week in Science which has a 2.5 standard deviation effect certainly deserves attention. And then there is the small matter of one of the authors (Carl Wieman) being a Nobel Laureate in Physics and a Science advisor to President Obama.

You are in school. Or, so you say…

Berk Ozler's picture

Regardless of whether we do empirical or theoretical work, we all have to utilize information given to us by others. In the field of development economics, we rely heavily on surveys of individuals, households, facilities, or firms to find out about all sorts of things. However, this reliance has been diminishing over time: we now also collect biological data, try to incorporate more direct observation of human behavior, or conduct audits of firms.

To use or not to use: Getting people to adopt new health technologies

Jed Friedman's picture

David has started a discussion that I find intrinsically interesting and one that well-designed impact evaluations can help clarify: why don’t more people adopt low-cost efficacious health technologies? We may be able to think of examples in our own lives – i.e. “why don’t I take vitamins more regularly?” or “why, if diabetic, don’t I self-test my blood sugar more frequently?” These same questions also resonate for large-scale health programs in many settings.

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