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Markus Goldstein's blog

Turning on the taps in Tangiers

Markus Goldstein's picture

So in my quest to understand the gender dimensions of water supply this week, I stumbled upon a nice paper by Florencia Devoto and coauthors. They look at the effects of providing piped water in Tangiers, Morocco. The immediately cool thing about this paper is that they got something quite hard – randomization in an infrastructure project.

Getting organized for progress in agriculture

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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. 

Love and secrets

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OK, let’s put two blog posts in a pot and stir.   In a previous post on measuring consumption, Jed gave us some food for thought, while over on Aid Thoughts, Matt is talking about how a respondent is seeing the enumerator on the sly to conceal land that he doesn’t want his wife to know about.   Put it together, and what do you have?

Measuring secrets

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One of the things I learned in my first field work experience was that keeping interviews private was critical if you wanted unbiased information.   Why? I guess at the time it should have been kind of obvious to me – there are certain questions that a person will answer differently depending on whom else is in the room. We were doing a socio-economic survey of rural households in Ghana, and we thought that income, in particular, would be sensitive, since spouses tended to share information on this selectively and perhaps in a strategic way.  

What is success, anyhow?

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As a fair number of impact evaluations I work on are programs designed by governments or NGOs, I often initially have to have a tricky discussion when it comes time to do the power calculations to design the impact evaluation.   The subject of this conversation is the anticipated effect size.   This is a key parameter – if it’s too optimistic you run the risk of an impact evaluation with no effect even when the program had worked to some (lesser) degree, if it’s too pessimistic, then you are wasting money and people’s time in your survey. 

A disappointment with encouragement

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In some joint work with an African government, my colleagues Francisco Campos, Jessica Leino and I were trying to evaluate the impacts of one of their support programs for small businesses.   This service was open to anyone who contacted them, but the number of entrepreneurs who knew about the program (and hence who used it) was low.  Basically, the way the program worked was that when the entrepreneur came into the office and registered for the program, the implementing agency would assess the needs of the business and then provide the entrepreneur with subsidized access to

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