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Relaxing conditions for local average treatment effect in fuzzy regression discontinuity

Jin-Young Choi () and Myoung-jae Lee

Economics Letters, 2018, vol. 173, issue C, 47-50

Abstract: In fuzzy regression discontinuity with a running/forcing variable S and a cutoff c, the identified treatment effect is the ‘effect on compliers at S=c’. This well-known ‘local average treatment effect (LATE)’ interpretation requires (i) a monotonicity condition and (ii) the independence of the potential treatment and potential response variables from S. These assumptions can be violated, however, particularly (ii) when S affects potential variables, which can easily happen in practice. In this paper, we weaken both assumptions so that LATE in fuzzy regression discontinuity has a better chance to hold in the real world, and practitioners can claim their findings in fuzzy regression discontinuity to be LATE.

Keywords: Fuzzy regression discontinuity; Local average treatment effect; Monotonicity condition; Moment continuity (search for similar items in EconPapers)
JEL-codes: C21 C26 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:173:y:2018:i:c:p:47-50

DOI: 10.1016/j.econlet.2018.09.010

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