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Marcelo coca perraillon discontinuity design form 2025

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The document discusses Regression Discontinuity Design (RDD), a method for estimating treatment effects in non-experimental settings. It highlights the method's ability to provide causal estimates with good internal validity, focusing on the importance of a known assignment mechanism and the precision of manipulation. The document reviews historical applications, validity concerns, estimation techniques (both parametric and non-parametric), and provides examples from literature, including studies on merit awards and medical care for low-birth-weight infants. It emphasizes the need for careful modeling of relationships between variables and the implications of bandwidth selection in nonparametric methods.

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How is a fuzzy RD design different from a Sharp RD design?

Sharp RDD: Assignment or running variable completely determines treatment. A jump in the probability of treatment before and after cutoff point. Fuzzy RDD: Cutoff point increases the probability of treatment but doesnt completeley determines treatment.

What is an example of a regression discontinuity design?

For example, suppose the treatment is passing an exam, where a grade of 50% is required. In this case, this example is a valid regression discontinuity design so long as grades are somewhat random, due either to the randomness of grading or randomness of student performance.

What is the key assumption for the regression discontinuity research design?

The key identifying assumption for Regression Discontinuity Design (RDD) is the Continuity Assumption. This assumption states that in the absence of treatment, the expected outcome would continue along the same trend at the threshold.

What is the regression discontinuity in the World Bank?

Regression discontinuity is, in short, when assignment to a development program is made based on some sort of score (e.g., a poverty score or a test score), and we compare the people immediately above and below the score to each other, since they should be very similar except for (a) a few points on a test score and (b

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