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Learning more with every year? Estimating the productivity of schooling in developing countries: Guest post by Abhijeet Singh

This is the fourteenth in our series of job market posts this year. 

Despite massive increases in school enrolment in developing countries, learning levels have lagged behind. But the range in average student achievement is large: In the 2012 PISA assessment (of 15-year-olds), Vietnamese students got higher scores than those in the US and the UK, but Peru ranked last (OECD 2012). The magnitude of the gap between these two developing countries was 1.4 standard deviations (SD); for comparison the difference between the US and Finland was 0.38SD.
My job market paper answers the question of how much of this gap reflects differences in the productivity of the schooling systems, as opposed to other factors such as nutrition, early childhood shocks, or endowments – a critical policy question relevant to the substantial education spending around the world.

Give power to the managers and the teachers will come: Guest post by Jacobus Cilliers

This is the ninth in our series of job market posts this year. 

Teachers’ attendance can be improved if they are monitored by head-teachers using mobile technology, but only if the associated reports trigger bonus payments.

Policy question
Can high-stakes decentralized monitoring improve civil servant performance, or will it lead to collusion between the monitor and civil servant? And what happens to the quality of information when we raise the stakes of reports?

What’s new in education research? Impact evaluations and measurement – October round-up

David Evans's picture

Here is a curated round-up of recent research on education in low- and middle-income countries, with a few findings from high-income countries that I found relevant. All are from the course of 2016.

If I’m missing recent articles that you’ve found useful, please add them in the comments!

Training teachers on the job: What we know, and why we know less than we should

Anna Popova's picture

or, why we need more systematic (and simply more) reporting on the nature of interventions

The hope. Last year, we reviewed six reviews of what interventions work to improve learning. One promising area of overlap across reviews had to do with training teachers who were already on the job (i.e., in-service teacher training or teacher professional development). Specifically, we proposed that “individualized, repeated teacher training, associated with a specific method of task” was associated with learning gains.

How do you scale up an effective education intervention? Iteratively, that’s how.

David Evans's picture
So you have this motivated, tightly controlled, highly competent non-government organization (NGO). And they implement an innovative educational experiment, using a randomized controlled trial to test it. It really seems to improve student learning. What next? You try to scale it or implement it within government systems, and it doesn’t work nearly as well.

Starting life off on the wrong foot

Markus Goldstein's picture
I was recently at the GW conference on the economics & political economy of Africa where I saw an interesting paper by Richard Akresh, Emilie Bagby, Damien de Walque, and Harounan Kazianga on Burkina Faso.    Akresh and co. make another compelling argument for focusing on early childhood (and indeed, in utero).   Kids whose household has a shock during this critical period are less smart – and this leads to them going to school less.