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Ethiopia

Improving the Granularity of Nighttime Lights Satellite Imagery: Guest Post by Alexei Abrahams

Popular data
Nighttime lights satellite imagery (DMSP-NTL) are now a popular data source among economists. In a sentence, these imagery encompass almost all inhabited areas of the globe, and record the average quantity of light observed at each pixel (nominal size ~1km2) across cloud-free nights for every year, 1992-2012. In under-developed or conflicted regions, where survey or census data at a fine level of spatial and temporal disaggregation are seldom available or reliable or comparable over space or time, NTL and other satellite imagery can be an excellent resource. Recent economics papers have used NTL to study growth of cities in sub-Saharan Africa (Storeygard (2015)), production activity in blockaded Palestinian towns of the West Bank (Abrahams (2015), van der Weide et al (2015)), and urban form in China (Baum-Snow & Turner (2015)) and India (Harari (2015)).

Poverty Reduction: Sorting Through the Hype

Berk Ozler's picture
After seeing PowerPoint slides of the preliminary findings over the course of more than a year, it’s nice to be able to report that the six-country study that is evaluating the “ultra-poor graduation” approach (originally associated with BRAC) is finally out.

Aspirations and poverty

Markus Goldstein's picture
This week is the World Bank’s annual conference on development economics.    One of the papers being presented is by my colleague Kate Orkin (together with co-authors Tanguy Bernard, Stefan Dercon and Alemayehu Taffesse) and takes a look at a video intervention and its impact on aspirations among poor folks in Ethiopia.    In particular, what Kate and her co-authors are asking is:   can we shift aspirations and behavior by showing people more of what is possible?