When can we ignore measurement error in the running variable?
نویسندگان
چکیده
In many applications of regression discontinuity designs, the running variable used to assign treatment is only observed with error. We show that, provided (i) correctly classifies assignment and (ii) affects conditional means potential outcomes smoothly, ignoring measurement error nonetheless yields an estimate a causal interpretation: average effect for units whose equals cutoff. Possibly after doughnut trimming, these assumptions accommodate variety settings where support not too wide. An empirical application illustrates results both sharp fuzzy designs.
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ژورنال
عنوان ژورنال: Journal of Applied Econometrics
سال: 2023
ISSN: ['1099-1255', '0883-7252']
DOI: https://doi.org/10.1002/jae.2974