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David McKenzie's blog

Questioning the External Validity of Regression Estimates: Why they can be less representative than you think.

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A common critique of many impact evaluations, including those using both experimental and quasi-experimental methods, is that of external validity – how well do findings from one setting export to another? This is especially the case for studies done on relatively small samples, although as I have ranted before, there appears to be a double standard in this critique when compared to both other disciplines in economics and to other development literature.

Some new experiments trying to help more people emigrate from the Philippines

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Moving from a developing to a developed country results in immediate large increases in income for the migrants, with gains that far exceed those of any other development policy intervention (e.g. Clemens et al 2008; McKenzie et al. 2010, Gibson and McKenzie, forthcoming).

Friday links September 6, 2013: Cash, Scarcity, Justice, Taking your Kids to work (Development edition), and more…

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How should we understand “clinical equipoise” when doing RCTs in development

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While the blog was on break over the last month, a couple of posts caught my attention by discussing whether it is ethical to do experiments on programs that we think we know will make people better off. First up, Paul Farmer on the Lancet Global Health blog writes:
 

Insights from 15 years of Fieldwork in Thailand

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A new book Chronicles from the Field: The Townsend Thai Project provides a behind-the-scenes look at putting together one of the most impressive data collection projects in development  - Rob Townsend’s Thai data, which has conducted monthly surveys on a panel of Thai households for over 150 consecutive months, as well as annual surveys. The Townsend Thai data is available online and has spurred a number of research papers by Rob and his co-authors. This book looks at what it takes to produce all this data.

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