A regression discontinuity design (RDD) estimates causal effects by exploiting:
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A
Random assignment of treatment to units above a threshold
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B
A discontinuous jump in treatment probability at a known cutoff value
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C
Instrumental variables derived from natural experiments
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D
Matched pairs of treated and untreated observations