Design a study using the Regression Discontinuity Design (RDD) to evaluate the impact of a scholarship program on student performance.

Instruction: Outline the key elements of your study design, including the selection of the cutoff score, assignment of treatment, and the statistical methods for estimating the causal effect.

Context: This question evaluates the candidate's ability to apply the Regression Discontinuity Design in a practical scenario. Candidates must demonstrate understanding of how to appropriately set a cutoff point for treatment assignment, manage potential discontinuities, and use RDD to estimate causal effects accurately while addressing any potential confounding factors.

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Thank you for presenting such a thought-provoking question. It's a great opportunity to delve into how a Regression Discontinuity Design (RDD) can be effectively utilized to evaluate causal relationships, particularly in the context of assessing the impact of a scholarship program on student performance. Let's start by clarifying our approach and assumptions, and then move into the specifics of the study design. Firstly, the essence of RDD lies in its ability to approximate the experimental design in situations where random assignment is not feasible, by exploiting a predetermined cutoff point to assign treatment to observations. In our case, the treatment is the scholarship program, and the observations are student performance metrics. The selection of the cutoff score is crucial; it must be both justifiable and relevant to the scholarship criteria...

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