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arxiv: 1910.02170 · v4 · pith:5UBOFGHF · submitted 2019-10-04 · stat.ME · stat.AP· stat.ML

Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation

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classification stat.ME stat.APstat.ML
keywords discontinuitymanipulationregressiondesigndonationsdonorsidentificationpartial
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Volunteer labor can temporarily yield lower benefits to charities than its costs. In such instances, organizations may wish to defer volunteer donations to a later date. Exploiting a discontinuity in blood donations' eligibility criteria, we show that deferring donors reduces their future volunteerism. In our setting, medical staff manipulates donors' reported hemoglobin levels over a threshold to facilitate donation. Such manipulation invalidates standard regression discontinuity design. To circumvent this issue, we propose a procedure for obtaining partial identification bounds where manipulation is present. Our procedure is applicable in various regression discontinuity settings where the running variable is manipulated.

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