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Putting aspirations to work

Renos Vakis's picture

I have been planning to write a blog post for a few months now. Many of you may know how procrastination works! This changed after I attended the 4th World Bank Conference on Equity on May 29, 2014This year, the focus was on Aspirations, Poverty and Inequality. Listening to the likes of Debraj Ray and Glenn Loury is always a treat. Ray talked about the idea of aspirational gaps, defined as the difference between a person's contemporaneous standard of living and the standard of living she or he aspires to. Ray stressed that getting aspirations right is important: too low and people will not take action; too high and it might lead to frustration.
 
But what happens when you get it right? Let me tell you about a project in Nicaragua that sheds some insights on how aspirations can enhance the impacts of a program.

Are Impact Evaluations Enough? The Social Observatory Approach to Doing-by-Learning

Vijayendra Rao's picture

Impact Evaluations are just one of many important tools to improve “adaptive capacity.” To improve implementation, they need to be integrated with monitoring and decision support systems, methods to understand mechanisms of change, and efforts to build feedback loops that pay attention both to everyday and long-term learning.  While there has been some scholarly writing and advocacy on this point, it has been more talk than action. 

Stratified randomization and the FIFA World Cup

Damien de Walque's picture

When I start working on a new impact evaluation, I often begin with a workshop in the country where the study will be conducted. The workshop brings together government officials, both at the central level and from the regions and provinces where the intervention will take place, other stakeholders such as NGOs or other UN organizations, and representatives of the research institution that will implement the survey. Part of the workshop is devoted to teaching or refreshing memories about evaluation techniques. This usually includes a section on randomization which we try to make interactive by doing a randomization game with the participants.

Confusing a treatment for a cure

Berk Ozler's picture
A treatment is an instance of treating someone, say, medically. A cure ends a problem. Sometimes, the treatment is a cure. Other times, it just keeps the problem under control without curing it: if you remove the treatment, the problem comes back…
 

Blog links June 6: Impact of High-Skilled Migration, Failed Forecasting, a large IE database, and more…

David McKenzie's picture

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?   
 

External validity as seen from other quantitative social sciences - and the gaps in our practice

Jed Friedman's picture
For impact evaluation to inform policy, we need to understand how the intervention will work in the intended population once implemented. However impact evaluations are not always conducted in a sample representative of the intended population, and sometimes they are not conducted under implementation conditions that would exist at scale-up.

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