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DTSTART;TZID=Europe/Helsinki:20230328T121500
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SUMMARY:Peter HULL (Brown University) - « Contamination Bias in Linear Regressions »
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: 28th of March\nRoom : 3001 \nPeter HULL (Brown University) – « Contamination Bias in Linear Regressions » \nAbstract : \nWe study regressions with multiple treatments and a set of controls that is flexible enough to purge omitted variable bias. We show these regressions generally fail to estimate convex averages of heterogeneous treatment effects; instead\, estimates of each treatment’s effect are contaminated by non-convex averages of the effects of other treatments. We discuss three estimation approaches that avoid such contamination bias\, including a new estimator of efficiently weighted average effects. We find minimal bias in a re-analysis of Project STAR\, due to idiosyncratic effect heterogeneity. But sizeable contamination bias arises when effect heterogeneity becomes correlated with treatment propensity scores. \n  \nJoint work with : Paul Goldsmith-Pinkham (Yale University)\, Michal Kolesár (Princeton University) \n  \nOrganizers:\nBenoît SCHMUTZ (Pôle d’économie du CREST)\nRoland RATHELOT (Pôle d’économie du CREST)\nSponsors:\nCREST \n
URL:https://crest.science/event/peter-hull-brown-university-contamination-bias-in-linear-regressions/
CATEGORIES:Applied Seminar,Economics,Microeconometrics,Seminars
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