Fuzzy Regression Discontinuity Designs With Multiple Control Groups Under One-Sided Noncompliance: Evaluating Extended Time Accommodations

Youmi Suk and Yongnam Kim
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Youmi Suk: Teachers College, Columbia University
Yongnam Kim: Seoul National University

Journal of Educational and Behavioral Statistics, 2025, vol. 50, issue 6, 962-984

Abstract: Since its conception by Thistlethwaite and Campbell, a regression discontinuity (RD) design has continuously evolved and progressed in various aspects. This paper explores a novel theoretical advancement in fuzzy RD designs by combining them with multiple control groups under one-sided noncompliance. Within this approach, we estimate the average treatment effect on the treated at the cutoff from the fuzzy RD design and construct its bounds derived from multiple control groups. Using the bounds as a sensitivity check, we examine whether the underlying causal or statistical assumptions for the fuzzy RD design are warranted. We verify the effectiveness of our approach via a simulation study and demonstrate its application by studying the effect of extended time accommodations using data from the National Assessment of Educational Progress.

Keywords: regression discontinuity; quasi-experimental designs; causal inference; sensitivity analysis; bounds; multiple control groups; testing accommodations; NAEP; process data (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:50:y:2025:i:6:p:962-984

DOI: 10.3102/10769986241268902

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