Weekly Development Links #4 – #6

Dev links coming to you weekly from now on!

Week #6: Oct 17

1. Cash transfers increase trust in local gov’t

“How does a locally-managed conditional cash transfer program impact trust in government?”

  • Cash transfers increased trust in leaders and perceptions of leaders’ responsiveness and honesty
  • Beneficiaries reported higher trust in elected leaders but not in appointed bureaucrats
  • Government record-keeping on health and education improved in treatment communities

2. Kinda random: sand dams

Read a WB blogpost on sand dams as a method for increasing water sustainability in arid regions … but that did not explain how the heck you store water in sand, so watched this cool video from Excellent Development, a non-profit that works on sand dam projects.

3. USAID increasingly using “geospatial impact evaluations” ft. MAPS!

Outlines example of a GIE on USAID West Bank/Gaza’s recent $900 million investment in rural infrastructure

Ariel BenYishay, Rachel Trichler, Dan Runfola, and Seth Goodman at Brookings

BONUS: In other geospatial news
LSE blog post on the work of ground-truthing spatial data in Kenya

Week #5: Oct 10

Health Round-Up Edition

1. Dashboards for decisions: Immunization in Nigeria

A new dashboard is being used to improve data on routine immunizations … but doesn’t look like the underlying data quality has been improved. Is this just better access to bad data?

2. Norway vs. Thailand vs. US

A comparative study of health services for undocumented migrants

3. Traditional Midwives in Guatemala

Aljazeera on the complicated relationship between traditional midwives providing missing services and the gov’t trying to provide those services in health centers

BONUS: Visualizing fires + “good”

  • Satellite imagery of crop burning in India in 2017 vs 2018
  • How good is good? 6.92/10. The YouGov visualization on how people rate different descriptors on a 0-10 scale is really interesting if you look at the distributions – lots of agreement on appalling, average (you’d hope there would be clustering around 5!), and perfect. Then, pretty wide variance for quite bad, pretty bad, somewhat bad, great, really good, and very good. Shows how you should cut out generic good/bad descriptions in your writing and use words like appalling or abysmal that are more universally evocative.

Week #4: Oct 3

1. Tanzania outlaws critiques of their data!?

“Consider a simple policy rule: if a government’s statistics cannot be questioned, they shouldn’t be trusted. By that rule, the Bank and Fund would not report Tanzania’s numbers or accept them in determining creditworthiness—and they would immediately withdraw the offer of foreign aid to help Tanzania produce statistics its citizens cannot criticize.”

2. 12 Things We Can Agree On About Global Poverty?

In August, a CGDev post proposed 12 universally agreed-upon truths about global poverty. Do you agree? Are there other truths we should all agree on?

3. Food for thought on two relevant method issues

  • Peter Hull released a two-page brief on controlling for propensity scores instead of using them to match or weight observations
  • Spillover and estimands: “The key issue is that the assumption of no spillovers runs so deep that it is often invoked even prior to the definition of estimands. If you write the “average treatment effect” estimand using potential outcomes notation, as E(Y(1)−Y(0))E(Y(1)−Y(0)), you are already assuming that a unit’s outcomes depend only on its own assignment to treatment and not on how other units are assigned to treatment. The definition of the estimand leaves no space to even describe spillovers.”

BONUS: New head of IMF
Dr. Gita Gopinath takes over.

Weekly Development Links #3

My final week of taking over IDinsight’s internal development links.

1. Development myths: debunked

Rachel Glennerster asked for examples of development myths, resulting in a list development myths along with debunking sources / evidence against. Some of the myths shared, with accompanying evidence:

2. Traditional local governance systems (autocratic) underutilize local human capital

A new paper by Katherine Casey, Rachel Glennerster, Ted Miguel, and Maarten Voors. “We experimentally evaluate two solutions to these problems [autocratic local rule by old, uneducated men] in rural Sierra Leone: an expensive long-term intervention to make local institutions more inclusive; and a low-cost test to rapidly identify skilled technocrats and delegate project management to them. In a real-world competition for local infrastructure grants, we find that technocratic selection dominates both the status quo of chiefly control and the institutional reform intervention, leading to an average gain of one standard deviation unit in competition outcomes. The results uncover a broader failure of traditional autocratic institutions to fully exploit the human capital present in their communities.“

3. Aggressive U.S. recruitment of nurses from Philippines did not result in brain drain / negative health impacts

A new paper by Paolo Abarcar and Caroline Theoharides. “For each new nurse that moved abroad, approximately two more individuals with nursing degrees graduated. The supply of nursing programs increased to accommodate this. New nurses appear to have switched from other degree types. Nurse migration had no impact on either infant or maternal mortality.”

BONUS. Data viz: Poverty persists in Africa, falls in other regions

Justin Sandefur shared that the Economist much improved a World Bank graphic to more clearly visualize how the number of people living in poverty has risen slightly in Africa while other regions have seen sharp decreases in # of people in poverty over time. (Wonder how the graphic would like stacked Africa, South Asia, then East Asia & Pacific? Less dramatic contrast between Africa and the other regions? Number of poor in South Asia hasn’t decreased as dramatically as East Asia, would look more similar to Africa trend than East Asia trend until about 2010 I think.)