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Multiple-Cutoff Regression Discontinuity Designs in Program Evaluation: A Comparison of Two Estimation Methods
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Yoon, HyeonJin – ProQuest LLC, 2018
In basic regression discontinuity (RD) designs, causal inference is limited to the local area near a single cutoff. To strengthen the generality of the RD treatment estimate, a design with multiple cutoffs along the assignment variable continuum can be applied. The availability of multiple cutoffs allows estimation of a pooled average treatment…
Descriptors: Regression (Statistics), Program Evaluation, Computation, Statistical Analysis
Multiple-Cutoff Regression Discontinuity Designs in Program Evaluation: A Comparison of Two Estimation Methods
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Yoon, HyeonJin – Grantee Submission, 2018
In basic regression discontinuity (RD) designs, causal inference is limited to the local area near a single cutoff. To strengthen the generality of the RD treatment estimate, a design with multiple cutoffs along the assignment variable continuum can be applied. The availability of multiple cutoffs allows estimation of a pooled average treatment…
Descriptors: Regression (Statistics), Program Evaluation, Computation, Statistical Analysis