Apologies for the tepid pace of G-Feed blogging. Some of us are on sabbatical, some are looking for post-graduate employment, some of us have a new job and multiple cats, and some are mentally and physically preparing for the upcoming Formula 1 season.
In lieu of actual content, allow me to point folks toward a incredibly useful compendium of methodological advice for folks doing applied economics research. It's here, and is a list of the somewhat more technical blog postings that have shown up on the excellent Development Impact blog.
There you will find advice on a range of important topics from how to account for observer ("Hawthorne") effects in experimental work, to how to design randomized controlled trials to measure spillover effects, to how best to implement various popular strategies for causal inference in non-experimental data.
Also, if you're even remotely interested in development or in these methodological topics, the Development Impact blog is worth a follow.
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