As 2017 draws to a close, I am marking the year by posting links to a selection of papers circulated in the past year. These are papers that I read and that I think are especially impressive in moving the methodological frontier forward for people, like myself, who do field experimental and quasi-experimental policy research. I have linked to ungated versions whenever I could:<\/p>\n
Foundational Work in Causal Inference<\/strong><\/p>\n These are papers that challenge conventional wisdom or otherwise newly reveal some basic considerations in causal inference: <\/p>\n Generalization, Policy Extrapolation, and Equilibrium Effects<\/strong><\/p>\n Current program evaluation work is pushing past the old “reduced-form vs. structural” divide and making use of tools from both worlds to address questions of generalization, policy extrapolation, and equilibrium effects. Here are some good recent examples: <\/p>\n Beautifully Designed Field Studies<\/strong><\/p>\n Finally, here are papers that I read this year that taught me a lot about framing and designing field experiments. Reading them offers a master class on research design and analysis: <\/p>\n As 2017 draws to a close, I am marking the year by posting links to a selection of papers circulated in the past year. These are papers that I read and that I think are especially impressive in moving the methodological frontier forward for people, like myself, who do field experimental and quasi-experimental policy research. … <\/p>\n\n
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